DataClean

Dataset statistics

Number of variables	41
Number of observations	230892
Missing cells	1689972
Missing cells (%)	17.9%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	39.7 MiB
Average record size in memory	180.2 B

Variable types

Numeric	15
DateTime	5
Categorical	21

Alerts

`S_sprache` has constant value "Deutsch"	Constant
`Kommentar` has a high cardinality: 60674 distinct values	High cardinality
`ft_tu` has a high cardinality: 55 distinct values	High cardinality
`ft_vm` has a high cardinality: 18468 distinct values	High cardinality
`fg_startort` has a high cardinality: 12216 distinct values	High cardinality
`fg_zielort` has a high cardinality: 12067 distinct values	High cardinality
`ft_startort` has a high cardinality: 6278 distinct values	High cardinality
`ft_zielort` has a high cardinality: 5387 distinct values	High cardinality
`wime_komfort` is highly correlated with `wime_sauberkeit`	High correlation
`wime_sauberkeit` is highly correlated with `wime_komfort`	High correlation
`wime_platzangebot` is highly correlated with `wime_komfort` and 2 other fields	High correlation
`wime_gesamtzuf` is highly correlated with `wime_personal` and 5 other fields	High correlation
`wime_preis_leistung` is highly correlated with `wime_gesamtzuf`	High correlation
`wime_personal` is highly correlated with `wime_gesamtzuf`	High correlation
`wime_puenktlich` is highly correlated with `wime_gesamtzuf`	High correlation
`wime_fahrplan` is highly correlated with `wime_gesamtzuf`	High correlation
`u_ga` is highly correlated with `S_AB3_HTA` and 2 other fields	High correlation
`u_fahrausweis` is highly correlated with `S_AB3_HTA` and 1 other fields	High correlation
`ft_tu` is highly correlated with `S_sprache`	High correlation
`u_klassencode` is highly correlated with `S_sprache`	High correlation
`R_anschluss` is highly correlated with `S_sprache`	High correlation
`S_wohnsitz` is highly correlated with `S_sprache`	High correlation
`R_zweck` is highly correlated with `S_sprache`	High correlation
`S_AB3_HTA` is highly correlated with `u_ga` and 2 other fields	High correlation
`dispcode` is highly correlated with `S_sprache`	High correlation
`R_stoerung` is highly correlated with `S_sprache`	High correlation
`u_ticket` is highly correlated with `u_ga` and 1 other fields	High correlation
`ft_vm_kurz` is highly correlated with `S_sprache`	High correlation
`device_type` is highly correlated with `S_sprache`	High correlation
`S_sex` is highly correlated with `S_sprache`	High correlation
`S_sprache` is highly correlated with `u_ga` and 13 other fields	High correlation
`Kommentar` has 168589 (73.0%) missing values	Missing
`wime_personal` has 151584 (65.7%) missing values	Missing
`wime_komfort` has 51326 (22.2%) missing values	Missing
`wime_sauberkeit` has 48111 (20.8%) missing values	Missing
`wime_puenktlich` has 47484 (20.6%) missing values	Missing
`wime_platzangebot` has 46688 (20.2%) missing values	Missing
`wime_gesamtzuf` has 39331 (17.0%) missing values	Missing
`wime_preis_leistung` has 15536 (6.7%) missing values	Missing
`wime_fahrplan` has 8377 (3.6%) missing values	Missing
`S_alter` has 5871 (2.5%) missing values	Missing
`S_sex` has 5571 (2.4%) missing values	Missing
`S_wohnsitz` has 5570 (2.4%) missing values	Missing
`u_klassencode` has 6082 (2.6%) missing values	Missing
`u_ga` has 148510 (64.3%) missing values	Missing
`S_AB3_HTA` has 12337 (5.3%) missing values	Missing
`R_anschluss` has 102839 (44.5%) missing values	Missing
`R_stoerung` has 48495 (21.0%) missing values	Missing
`device_type` has 82382 (35.7%) missing values	Missing
`dispcode` has 82382 (35.7%) missing values	Missing
`u_ticket` has 40694 (17.6%) missing values	Missing
`u_fahrausweis` has 111092 (48.1%) missing values	Missing
`u_preis` has 22060 (9.6%) missing values	Missing
`R_zweck` has 5518 (2.4%) missing values	Missing
`ft_abfahrt` has 38933 (16.9%) missing values	Missing
`ft_ankunft` has 38933 (16.9%) missing values	Missing
`ft_startort_uic` has 38933 (16.9%) missing values	Missing
`ft_tu` has 38933 (16.9%) missing values	Missing
`ft_vm` has 38933 (16.9%) missing values	Missing
`ft_vm_kurz` has 38933 (16.9%) missing values	Missing
`ft_zielort_uic` has 38933 (16.9%) missing values	Missing
`fg_abfahrt` has 28022 (12.1%) missing values	Missing
`fg_ankunft` has 28022 (12.1%) missing values	Missing
`fg_startort_uic` has 28022 (12.1%) missing values	Missing
`fg_zielort_uic` has 28022 (12.1%) missing values	Missing
`fg_startort` has 6756 (2.9%) missing values	Missing
`fg_zielort` has 6753 (2.9%) missing values	Missing
`ft_startort` has 17709 (7.7%) missing values	Missing
`ft_zielort` has 17706 (7.7%) missing values	Missing
`u_preis` is highly skewed (γ1 = 20.02315533)	Skewed
`ft_startort_uic` is highly skewed (γ1 = -38.63050039)	Skewed
`fg_startort_uic` is highly skewed (γ1 = -54.05818232)	Skewed
`fg_zielort_uic` is highly skewed (γ1 = -45.69006732)	Skewed
`Kommentar` is uniformly distributed	Uniform
`participant_id` has unique values	Unique
`wime_komfort` has 2958 (1.3%) zeros	Zeros
`wime_puenktlich` has 4706 (2.0%) zeros	Zeros
`wime_platzangebot` has 6412 (2.8%) zeros	Zeros
`wime_preis_leistung` has 6492 (2.8%) zeros	Zeros
`wime_fahrplan` has 5368 (2.3%) zeros	Zeros

Reproduction

Analysis started	2022-11-18 15:33:20.446976
Analysis finished	2022-11-18 15:51:09.701201
Duration	17 minutes and 49.25 seconds
Software version	pandas-profiling v3.4.0
Download configuration	config.json

participant_id
Real number (ℝ_≥0)

UNIQUE

Distinct	230892
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	375290.5297

Minimum	642
Maximum	589965
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	642
5-th percentile	66099.55
Q1	339397.75
median	428410.5
Q3	508315.25
95-th percentile	574149.35
Maximum	589965
Range	589323
Interquartile range (IQR)	168917.5

Descriptive statistics

Standard deviation	172177.6154
Coefficient of variation (CV)	0.458784866
Kurtosis	-0.78811269
Mean	375290.5297
Median Absolute Deviation (MAD)	84528
Skewness	-0.7939403492
Sum	8.665158098 × 10¹⁰
Variance	2.964513124 × 10¹⁰
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
642	1	< 0.1%
480981	1	< 0.1%
481026	1	< 0.1%
481027	1	< 0.1%
481028	1	< 0.1%
481029	1	< 0.1%
481030	1	< 0.1%
481032	1	< 0.1%
481033	1	< 0.1%
481034	1	< 0.1%
Other values (230882)	230882	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
642	1	< 0.1%
657	1	< 0.1%
24756	1	< 0.1%
25620	1	< 0.1%
41215	1	< 0.1%
41305	1	< 0.1%
41334	1	< 0.1%
41376	1	< 0.1%
41423	1	< 0.1%
41459	1	< 0.1%

Value	Count	Frequency (%)
589965	1	< 0.1%
589962	1	< 0.1%
589959	1	< 0.1%
589957	1	< 0.1%
589956	1	< 0.1%
589955	1	< 0.1%
589954	1	< 0.1%
589951	1	< 0.1%
589946	1	< 0.1%
589945	1	< 0.1%

u_date
Date

Distinct	1332
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

Minimum	2019-01-01 00:00:00
Maximum	2022-11-16 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

Kommentar
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	60674
Distinct (%)	97.4%
Missing	168589
Missing (%)	73.0%
Memory size	1.8 MiB

Nein	148
-	98
	81
Keine	78
nein	68
Other values (60669)	61830

Length

Max length	2058
Median length	1360
Mean length	173.7266103
Min length	0

Characters and Unicode

Total characters	10823689
Distinct characters	146
Distinct categories	16 ?
Distinct scripts	2 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	60278 ?
Unique (%)	96.7%

Sample

1st row	Habe schon mehrmals erlebt, dass es im Speisewagen keine Gipfeli gab am Morgen. Das war jeweils ärgerlich.
2nd row	Ansteben, dass auch in gut frequentierte periphere Zentren eine Fahrplanverdichtung erfolgt.Die Trennung von Fernverkehr und Regionalverkehr ist in Frage zu stellen. Schade, dass ich zu meiner ersten Fahrt am Tag Stellung nehmen muss, beginne ich dich mein Reiseprogramm aus Platzgründen im Zug bewusst früher als es nötig wäre...
3rd row	Die 1. Klasse muss deutluch aufgewertet werden. Die neuen untergeordneten Haltestellen wie Zürich Altstetten und Zürich Oerlikon trüben Fahrerlebnis massiv.
4th row	Bessere (neue!) Züge in der Westschweiz!!! Längere Züge zwischen Bern und Genève (vor allem zwischen 16 Uhr und 19 Uhr) (mindestens +3 Wagen). Mehr 1. Klasse Gutscheine für 2.Klass-GA-Inhaber.
5th row	- mehr Monitore - die Monitore so platzieren, dass man sie nicht suchen muss, wenn man knapp zum Bahnhof kommt, vor allem jetzt, wo alle Züge ständig auf anderen Gleisen fahren und die Wege sowieso

Common Values

Value	Count	Frequency (%)
Nein	148	0.1%
-	98	< 0.1%
	81	< 0.1%
Keine	78	< 0.1%
nein	68	< 0.1%
Mehr Sitzplätze	40	< 0.1%
Pünktlichkeit	36	< 0.1%
.	35	< 0.1%
keine	33	< 0.1%
Preise senken	32	< 0.1%
Other values (60664)	61654	26.7%
(Missing)	168589	73.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
die	43712	2.6%
der	36389	2.2%
ich	35202	2.1%
und	34875	2.1%
in	26814	1.6%
nicht	24892	1.5%
ist	20596	1.2%
es	20368	1.2%
das	18697	1.1%
zu	18555	1.1%
Other values (71888)	1392143	83.3%

Most occurring characters

Value	Count	Frequency (%)
	1652663	15.3%
e	1330460	12.3%
n	849209	7.8%
i	659547	6.1%
r	580235	5.4%
s	526374	4.9%
t	517612	4.8%
a	485579	4.5%
h	414709	3.8%
d	325183	3.0%
Other values (136)	3482118	32.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	8222895	76.0%
Space Separator	1652687	15.3%
Uppercase Letter	586937	5.4%
Other Punctuation	249895	2.3%
Decimal Number	60066	0.6%
Dash Punctuation	24205	0.2%
Open Punctuation	12262	0.1%
Close Punctuation	12136	0.1%
Math Symbol	1384	< 0.1%
Initial Punctuation	924	< 0.1%
Other values (6)	298	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1330460	16.2%
n	849209	10.3%
i	659547	8.0%
r	580235	7.1%
s	526374	6.4%
t	517612	6.3%
a	485579	5.9%
h	414709	5.0%
d	325183	4.0%
u	323616	3.9%
Other values (40)	2210371	26.9%

Uppercase Letter

Value	Count	Frequency (%)
B	64095	10.9%
S	60209	10.3%
Z	47700	8.1%
A	45938	7.8%
D	36329	6.2%
W	26664	4.5%
M	26662	4.5%
I	25654	4.4%
P	25400	4.3%
F	24079	4.1%
Other values (24)	204207	34.8%

Other Punctuation

Value	Count	Frequency (%)
.	137596	55.1%
,	70092	28.0%
!	20482	8.2%
?	6992	2.8%
:	6753	2.7%
/	4412	1.8%
;	1114	0.4%
'	938	0.4%
…	593	0.2%
&	368	0.1%
Other values (6)	555	0.2%

Decimal Number

Value	Count	Frequency (%)
1	14444	24.0%
2	11856	19.7%
0	10783	18.0%
3	5448	9.1%
5	4445	7.4%
4	3617	6.0%
7	2586	4.3%
6	2477	4.1%
9	2208	3.7%
8	2202	3.7%

Math Symbol

Value	Count	Frequency (%)
>	632	45.7%
+	271	19.6%
=	256	18.5%
<	207	15.0%
×	8	0.6%
~	7	0.5%
\|	3	0.2%

Open Punctuation

Value	Count	Frequency (%)
(	11546	94.2%
„	641	5.2%
‚	67	0.5%
[	7	0.1%
{	1	< 0.1%

Modifier Symbol

Value	Count	Frequency (%)
`	36	63.2%
¨	11	19.3%
´	6	10.5%
^	4	7.0%

Dash Punctuation

Value	Count	Frequency (%)
-	24003	99.2%
–	108	0.4%
—	94	0.4%

Close Punctuation

Value	Count	Frequency (%)
)	12124	99.9%
]	8	0.1%
}	4	< 0.1%

Initial Punctuation

Value	Count	Frequency (%)
“	639	69.2%
‘	233	25.2%
«	52	5.6%

Final Punctuation

Value	Count	Frequency (%)
’	48	36.4%
»	48	36.4%
”	36	27.3%

Space Separator

Value	Count	Frequency (%)
	1652663	> 99.9%
	24	< 0.1%

Currency Symbol

Value	Count	Frequency (%)
€	10	90.9%
$	1	9.1%

Other Number

Value	Count	Frequency (%)
½	7	87.5%
¼	1	12.5%

Other Symbol

Value	Count	Frequency (%)
°	54	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	36	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8809832	81.4%
Common	2013857	18.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1330460	15.1%
n	849209	9.6%
i	659547	7.5%
r	580235	6.6%
s	526374	6.0%
t	517612	5.9%
a	485579	5.5%
h	414709	4.7%
d	325183	3.7%
u	323616	3.7%
Other values (74)	2797308	31.8%

Common

Value	Count	Frequency (%)
	1652663	82.1%
.	137596	6.8%
,	70092	3.5%
-	24003	1.2%
!	20482	1.0%
1	14444	0.7%
)	12124	0.6%
2	11856	0.6%
(	11546	0.6%
0	10783	0.5%
Other values (52)	48268	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10653947	98.4%
None	167266	1.5%
Punctuation	2466	< 0.1%
Currency Symbols	10	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1652663	15.5%
e	1330460	12.5%
n	849209	8.0%
i	659547	6.2%
r	580235	5.4%
s	526374	4.9%
t	517612	4.9%
a	485579	4.6%
h	414709	3.9%
d	325183	3.1%
Other values (83)	3312376	31.1%

None

Value	Count	Frequency (%)
ü	81089	48.5%
ä	55815	33.4%
ö	26485	15.8%
Ö	1294	0.8%
Ü	827	0.5%
ß	647	0.4%
Ä	486	0.3%
é	172	0.1%
è	57	< 0.1%
°	54	< 0.1%
Other values (32)	340	0.2%

Punctuation

Value	Count	Frequency (%)
„	641	26.0%
“	639	25.9%
…	593	24.0%
‘	233	9.4%
–	108	4.4%
—	94	3.8%
‚	67	2.7%
’	48	1.9%
”	36	1.5%
•	7	0.3%

Currency Symbols

Value	Count	Frequency (%)
€	10	100.0%

wime_personal
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	13
Distinct (%)	< 0.1%
Missing	151584
Missing (%)	65.7%
Infinite	0
Infinite (%)	0.0%
Mean	89.90300824

Minimum	0
Maximum	100
Zeros	702
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	50
Q1	77.77777778
median	100
Q3	100
95-th percentile	100
Maximum	100
Range	100
Interquartile range (IQR)	22.22222222

Descriptive statistics

Standard deviation	17.81059679
Coefficient of variation (CV)	0.1981090192
Kurtosis	6.739073469
Mean	89.90300824
Median Absolute Deviation (MAD)	0
Skewness	-2.363062916
Sum	7130027.778
Variance	317.2173579
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
100	52150	22.6%
75	9787	4.2%
88.88888889	5378	2.3%
77.77777778	4851	2.1%
66.66666667	1880	0.8%
50	1779	0.8%
44.44444444	886	0.4%
55.55555556	817	0.4%
0	702	0.3%
25	447	0.2%
Other values (3)	631	0.3%
(Missing)	151584	65.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	702	0.3%
11.11111111	138	0.1%
22.22222222	228	0.1%
25	447	0.2%
33.33333333	265	0.1%
44.44444444	886	0.4%
50	1779	0.8%
55.55555556	817	0.4%
66.66666667	1880	0.8%
75	9787	4.2%

Value	Count	Frequency (%)
100	52150	22.6%
88.88888889	5378	2.3%
77.77777778	4851	2.1%
75	9787	4.2%
66.66666667	1880	0.8%
55.55555556	817	0.4%
50	1779	0.8%
44.44444444	886	0.4%
33.33333333	265	0.1%
25	447	0.2%

wime_komfort
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	13
Distinct (%)	< 0.1%
Missing	51326
Missing (%)	22.2%
Infinite	0
Infinite (%)	0.0%
Mean	78.94154053

Minimum	0
Maximum	100
Zeros	2958
Zeros (%)	1.3%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	33.33333333
Q1	75
median	77.77777778
Q3	100
95-th percentile	100
Maximum	100
Range	100
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	22.80887233
Coefficient of variation (CV)	0.2889337119
Kurtosis	1.479852277
Mean	78.94154053
Median Absolute Deviation (MAD)	22.22222222
Skewness	-1.241166906
Sum	14175216.67
Variance	520.244657
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
100	68640	29.7%
75	37780	16.4%
77.77777778	17476	7.6%
88.88888889	12656	5.5%
66.66666667	10829	4.7%
50	10475	4.5%
55.55555556	6008	2.6%
44.44444444	4853	2.1%
0	2958	1.3%
25	2840	1.2%
Other values (3)	5051	2.2%
(Missing)	51326	22.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2958	1.3%
11.11111111	1003	0.4%
22.22222222	1686	0.7%
25	2840	1.2%
33.33333333	2362	1.0%
44.44444444	4853	2.1%
50	10475	4.5%
55.55555556	6008	2.6%
66.66666667	10829	4.7%
75	37780	16.4%

Value	Count	Frequency (%)
100	68640	29.7%
88.88888889	12656	5.5%
77.77777778	17476	7.6%
75	37780	16.4%
66.66666667	10829	4.7%
55.55555556	6008	2.6%
50	10475	4.5%
44.44444444	4853	2.1%
33.33333333	2362	1.0%
25	2840	1.2%

wime_sauberkeit
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	13
Distinct (%)	< 0.1%
Missing	48111
Missing (%)	20.8%
Infinite	0
Infinite (%)	0.0%
Mean	79.2762316

Minimum	0
Maximum	100
Zeros	1628
Zeros (%)	0.7%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	44.44444444
Q1	75
median	77.77777778
Q3	100
95-th percentile	100
Maximum	100
Range	100
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	21.45825872
Coefficient of variation (CV)	0.2706770779
Kurtosis	1.140392045
Mean	79.2762316
Median Absolute Deviation (MAD)	22.22222222
Skewness	-1.10097625
Sum	14490188.89
Variance	460.4568672
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
100	67549	29.3%
75	40603	17.6%
77.77777778	18048	7.8%
88.88888889	13669	5.9%
50	12989	5.6%
66.66666667	10791	4.7%
55.55555556	5597	2.4%
44.44444444	4517	2.0%
25	3289	1.4%
33.33333333	2172	0.9%
Other values (3)	3557	1.5%
(Missing)	48111	20.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1628	0.7%
11.11111111	606	0.3%
22.22222222	1323	0.6%
25	3289	1.4%
33.33333333	2172	0.9%
44.44444444	4517	2.0%
50	12989	5.6%
55.55555556	5597	2.4%
66.66666667	10791	4.7%
75	40603	17.6%

Value	Count	Frequency (%)
100	67549	29.3%
88.88888889	13669	5.9%
77.77777778	18048	7.8%
75	40603	17.6%
66.66666667	10791	4.7%
55.55555556	5597	2.4%
50	12989	5.6%
44.44444444	4517	2.0%
33.33333333	2172	0.9%
25	3289	1.4%

wime_puenktlich
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	13
Distinct (%)	< 0.1%
Missing	47484
Missing (%)	20.6%
Infinite	0
Infinite (%)	0.0%
Mean	88.89655243

Minimum	0
Maximum	100
Zeros	4706
Zeros (%)	2.0%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	33.33333333
Q1	88.88888889
median	100
Q3	100
95-th percentile	100
Maximum	100
Range	100
Interquartile range (IQR)	11.11111111

Descriptive statistics

Standard deviation	22.14660174
Coefficient of variation (CV)	0.249127791
Kurtosis	6.14107102
Mean	88.89655243
Median Absolute Deviation (MAD)	0
Skewness	-2.50612666
Sum	16304338.89
Variance	490.4719684
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
100	126747	54.9%
75	17854	7.7%
88.88888889	11720	5.1%
77.77777778	7334	3.2%
0	4706	2.0%
50	4248	1.8%
66.66666667	2961	1.3%
25	2172	0.9%
44.44444444	1568	0.7%
55.55555556	1485	0.6%
Other values (3)	2613	1.1%
(Missing)	47484	20.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4706	2.0%
11.11111111	630	0.3%
22.22222222	990	0.4%
25	2172	0.9%
33.33333333	993	0.4%
44.44444444	1568	0.7%
50	4248	1.8%
55.55555556	1485	0.6%
66.66666667	2961	1.3%
75	17854	7.7%

Value	Count	Frequency (%)
100	126747	54.9%
88.88888889	11720	5.1%
77.77777778	7334	3.2%
75	17854	7.7%
66.66666667	2961	1.3%
55.55555556	1485	0.6%
50	4248	1.8%
44.44444444	1568	0.7%
33.33333333	993	0.4%
25	2172	0.9%

wime_platzangebot
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	13
Distinct (%)	< 0.1%
Missing	46688
Missing (%)	20.2%
Infinite	0
Infinite (%)	0.0%
Mean	80.20788848

Minimum	0
Maximum	100
Zeros	6412
Zeros (%)	2.8%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	22.22222222
Q1	75
median	100
Q3	100
95-th percentile	100
Maximum	100
Range	100
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	26.76140875
Coefficient of variation (CV)	0.3336505829
Kurtosis	1.370730952
Mean	80.20788848
Median Absolute Deviation (MAD)	0
Skewness	-1.449757292
Sum	14774613.89
Variance	716.172998
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
100	93018	40.3%
75	26450	11.5%
77.77777778	12108	5.2%
88.88888889	10362	4.5%
50	9950	4.3%
66.66666667	6883	3.0%
0	6412	2.8%
25	4655	2.0%
55.55555556	4103	1.8%
44.44444444	3944	1.7%
Other values (3)	6319	2.7%
(Missing)	46688	20.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	6412	2.8%
11.11111111	1554	0.7%
22.22222222	2323	1.0%
25	4655	2.0%
33.33333333	2442	1.1%
44.44444444	3944	1.7%
50	9950	4.3%
55.55555556	4103	1.8%
66.66666667	6883	3.0%
75	26450	11.5%

Value	Count	Frequency (%)
100	93018	40.3%
88.88888889	10362	4.5%
77.77777778	12108	5.2%
75	26450	11.5%
66.66666667	6883	3.0%
55.55555556	4103	1.8%
50	9950	4.3%
44.44444444	3944	1.7%
33.33333333	2442	1.1%
25	4655	2.0%

wime_gesamtzuf
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	13
Distinct (%)	< 0.1%
Missing	39331
Missing (%)	17.0%
Infinite	0
Infinite (%)	0.0%
Mean	84.58357332

Minimum	0
Maximum	100
Zeros	2073
Zeros (%)	0.9%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	50
Q1	75
median	88.88888889
Q3	100
95-th percentile	100
Maximum	100
Range	100
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	19.5786309
Coefficient of variation (CV)	0.2314708416
Kurtosis	3.737631081
Mean	84.58357332
Median Absolute Deviation (MAD)	11.11111111
Skewness	-1.722164753
Sum	16202913.89
Variance	383.3227881
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
100	89625	38.8%
75	39169	17.0%
88.88888889	20408	8.8%
77.77777778	16835	7.3%
50	7293	3.2%
66.66666667	6781	2.9%
55.55555556	2808	1.2%
44.44444444	2200	1.0%
0	2073	0.9%
25	1928	0.8%
Other values (3)	2441	1.1%
(Missing)	39331	17.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2073	0.9%
11.11111111	476	0.2%
22.22222222	916	0.4%
25	1928	0.8%
33.33333333	1049	0.5%
44.44444444	2200	1.0%
50	7293	3.2%
55.55555556	2808	1.2%
66.66666667	6781	2.9%
75	39169	17.0%

Value	Count	Frequency (%)
100	89625	38.8%
88.88888889	20408	8.8%
77.77777778	16835	7.3%
75	39169	17.0%
66.66666667	6781	2.9%
55.55555556	2808	1.2%
50	7293	3.2%
44.44444444	2200	1.0%
33.33333333	1049	0.5%
25	1928	0.8%

wime_preis_leistung
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	13
Distinct (%)	< 0.1%
Missing	15536
Missing (%)	6.7%
Infinite	0
Infinite (%)	0.0%
Mean	73.87228073

Minimum	0
Maximum	100
Zeros	6492
Zeros (%)	2.8%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	25
Q1	50
median	75
Q3	100
95-th percentile	100
Maximum	100
Range	100
Interquartile range (IQR)	50

Descriptive statistics

Standard deviation	26.41526523
Coefficient of variation (CV)	0.3575802042
Kurtosis	0.2277605024
Mean	73.87228073
Median Absolute Deviation (MAD)	25
Skewness	-0.9186382509
Sum	15908838.89
Variance	697.7662372
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
100	76907	33.3%
75	46565	20.2%
50	26078	11.3%
77.77777778	13319	5.8%
66.66666667	10095	4.4%
25	8623	3.7%
88.88888889	7822	3.4%
0	6492	2.8%
55.55555556	6301	2.7%
44.44444444	6265	2.7%
Other values (3)	6889	3.0%
(Missing)	15536	6.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	6492	2.8%
11.11111111	1224	0.5%
22.22222222	2597	1.1%
25	8623	3.7%
33.33333333	3068	1.3%
44.44444444	6265	2.7%
50	26078	11.3%
55.55555556	6301	2.7%
66.66666667	10095	4.4%
75	46565	20.2%

Value	Count	Frequency (%)
100	76907	33.3%
88.88888889	7822	3.4%
77.77777778	13319	5.8%
75	46565	20.2%
66.66666667	10095	4.4%
55.55555556	6301	2.7%
50	26078	11.3%
44.44444444	6265	2.7%
33.33333333	3068	1.3%
25	8623	3.7%

wime_fahrplan
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	13
Distinct (%)	< 0.1%
Missing	8377
Missing (%)	3.6%
Infinite	0
Infinite (%)	0.0%
Mean	83.40216764

Minimum	0
Maximum	100
Zeros	5368
Zeros (%)	2.3%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	25
Q1	75
median	100
Q3	100
95-th percentile	100
Maximum	100
Range	100
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	23.90631163
Coefficient of variation (CV)	0.2866389724
Kurtosis	2.541507494
Mean	83.40216764
Median Absolute Deviation (MAD)	0
Skewness	-1.687869325
Sum	18558233.33
Variance	571.5117357
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
100	120898	52.4%
75	33676	14.6%
77.77777778	14716	6.4%
88.88888889	12691	5.5%
50	10927	4.7%
66.66666667	7761	3.4%
0	5368	2.3%
25	4482	1.9%
55.55555556	3971	1.7%
44.44444444	3752	1.6%
Other values (3)	4273	1.9%
(Missing)	8377	3.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5368	2.3%
11.11111111	843	0.4%
22.22222222	1512	0.7%
25	4482	1.9%
33.33333333	1918	0.8%
44.44444444	3752	1.6%
50	10927	4.7%
55.55555556	3971	1.7%
66.66666667	7761	3.4%
75	33676	14.6%

Value	Count	Frequency (%)
100	120898	52.4%
88.88888889	12691	5.5%
77.77777778	14716	6.4%
75	33676	14.6%
66.66666667	7761	3.4%
55.55555556	3971	1.7%
50	10927	4.7%
44.44444444	3752	1.6%
33.33333333	1918	0.8%
25	4482	1.9%

S_sprache
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	225.7 KiB

Deutsch	230892

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	1616244
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Deutsch
2nd row	Deutsch
3rd row	Deutsch
4th row	Deutsch
5th row	Deutsch

Common Values

Value	Count	Frequency (%)
Deutsch	230892	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
deutsch	230892	100.0%

Most occurring characters

Value	Count	Frequency (%)
D	230892	14.3%
e	230892	14.3%
u	230892	14.3%
t	230892	14.3%
s	230892	14.3%
c	230892	14.3%
h	230892	14.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1385352	85.7%
Uppercase Letter	230892	14.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	230892	16.7%
u	230892	16.7%
t	230892	16.7%
s	230892	16.7%
c	230892	16.7%
h	230892	16.7%

Uppercase Letter

Value	Count	Frequency (%)
D	230892	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1616244	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
D	230892	14.3%
e	230892	14.3%
u	230892	14.3%
t	230892	14.3%
s	230892	14.3%
c	230892	14.3%
h	230892	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1616244	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
D	230892	14.3%
e	230892	14.3%
u	230892	14.3%
t	230892	14.3%
s	230892	14.3%
c	230892	14.3%
h	230892	14.3%

S_alter
Real number (ℝ_≥0)

MISSING

Distinct	89
Distinct (%)	< 0.1%
Missing	5871
Missing (%)	2.5%
Infinite	0
Infinite (%)	0.0%
Mean	51.62786584

Minimum	10
Maximum	98
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	10
5-th percentile	23
Q1	40
median	53
Q3	64
95-th percentile	75
Maximum	98
Range	88
Interquartile range (IQR)	24

Descriptive statistics

Standard deviation	15.93758494
Coefficient of variation (CV)	0.3087012155
Kurtosis	-0.6204582656
Mean	51.62786584
Median Absolute Deviation (MAD)	12
Skewness	-0.3072704461
Sum	11617354
Variance	254.0066138
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
55	6352	2.8%
60	6166	2.7%
50	5982	2.6%
58	5531	2.4%
56	5530	2.4%
57	5514	2.4%
52	5451	2.4%
65	5405	2.3%
54	5255	2.3%
53	5217	2.3%
Other values (79)	168618	73.0%
(Missing)	5871	2.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10	75	< 0.1%
11	42	< 0.1%
12	48	< 0.1%
13	69	< 0.1%
14	226	0.1%
15	563	0.2%
16	1208	0.5%
17	1504	0.7%
18	1643	0.7%
19	1435	0.6%

Value	Count	Frequency (%)
98	5	< 0.1%
97	2	< 0.1%
96	2	< 0.1%
95	9	< 0.1%
94	10	< 0.1%
93	7	< 0.1%
92	8	< 0.1%
91	26	< 0.1%
90	64	< 0.1%
89	54	< 0.1%

S_sex
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	5571
Missing (%)	2.4%
Memory size	225.7 KiB

weiblich	124194
männlich	100457
divers	670

Length

Max length	8
Median length	8
Mean length	7.994052929
Min length	6

Characters and Unicode

Total characters	1801228
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	männlich
2nd row	männlich
3rd row	weiblich
4th row	weiblich
5th row	weiblich

Common Values

Value	Count	Frequency (%)
weiblich	124194	53.8%
männlich	100457	43.5%
divers	670	0.3%
(Missing)	5571	2.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
weiblich	124194	55.1%
männlich	100457	44.6%
divers	670	0.3%

Most occurring characters

Value	Count	Frequency (%)
i	349515	19.4%
l	224651	12.5%
c	224651	12.5%
h	224651	12.5%
n	200914	11.2%
e	124864	6.9%
w	124194	6.9%
b	124194	6.9%
m	100457	5.6%
ä	100457	5.6%
Other values (4)	2680	0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1801228	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	349515	19.4%
l	224651	12.5%
c	224651	12.5%
h	224651	12.5%
n	200914	11.2%
e	124864	6.9%
w	124194	6.9%
b	124194	6.9%
m	100457	5.6%
ä	100457	5.6%
Other values (4)	2680	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1801228	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	349515	19.4%
l	224651	12.5%
c	224651	12.5%
h	224651	12.5%
n	200914	11.2%
e	124864	6.9%
w	124194	6.9%
b	124194	6.9%
m	100457	5.6%
ä	100457	5.6%
Other values (4)	2680	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1700771	94.4%
None	100457	5.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	349515	20.6%
l	224651	13.2%
c	224651	13.2%
h	224651	13.2%
n	200914	11.8%
e	124864	7.3%
w	124194	7.3%
b	124194	7.3%
m	100457	5.9%
d	670	< 0.1%
Other values (3)	2010	0.1%

None

Value	Count	Frequency (%)
ä	100457	100.0%

S_wohnsitz
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	5570
Missing (%)	2.4%
Memory size	225.7 KiB

In der Schweiz / Liechtenstein	219959
In einem anderen Land	5363

Length

Max length	30
Median length	30
Mean length	29.78578656
Min length	21

Characters and Unicode

Total characters	6711393
Distinct characters	18
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	In der Schweiz / Liechtenstein
2nd row	In der Schweiz / Liechtenstein
3rd row	In der Schweiz / Liechtenstein
4th row	In der Schweiz / Liechtenstein
5th row	In der Schweiz / Liechtenstein

Common Values

Value	Count	Frequency (%)
In der Schweiz / Liechtenstein	219959	95.3%
In einem anderen Land	5363	2.3%
(Missing)	5570	2.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
in	225322	20.1%
der	219959	19.6%
schweiz	219959	19.6%
	219959	19.6%
liechtenstein	219959	19.6%
einem	5363	0.5%
anderen	5363	0.5%
land	5363	0.5%

Most occurring characters

Value	Count	Frequency (%)
e	1121247	16.7%
	895925	13.3%
n	686692	10.2%
i	665240	9.9%
c	439918	6.6%
h	439918	6.6%
t	439918	6.6%
d	230685	3.4%
I	225322	3.4%
L	225322	3.4%
Other values (8)	1341206	20.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4924906	73.4%
Space Separator	895925	13.3%
Uppercase Letter	670603	10.0%
Other Punctuation	219959	3.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1121247	22.8%
n	686692	13.9%
i	665240	13.5%
c	439918	8.9%
h	439918	8.9%
t	439918	8.9%
d	230685	4.7%
r	225322	4.6%
s	219959	4.5%
w	219959	4.5%
Other values (3)	236048	4.8%

Uppercase Letter

Value	Count	Frequency (%)
I	225322	33.6%
L	225322	33.6%
S	219959	32.8%

Space Separator

Value	Count	Frequency (%)
	895925	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	219959	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5595509	83.4%
Common	1115884	16.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1121247	20.0%
n	686692	12.3%
i	665240	11.9%
c	439918	7.9%
h	439918	7.9%
t	439918	7.9%
d	230685	4.1%
I	225322	4.0%
L	225322	4.0%
r	225322	4.0%
Other values (6)	895925	16.0%

Common

Value	Count	Frequency (%)
	895925	80.3%
/	219959	19.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6711393	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	1121247	16.7%
	895925	13.3%
n	686692	10.2%
i	665240	9.9%
c	439918	6.6%
h	439918	6.6%
t	439918	6.6%
d	230685	3.4%
I	225322	3.4%
L	225322	3.4%
Other values (8)	1341206	20.0%

u_klassencode
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	6082
Missing (%)	2.6%
Memory size	225.7 KiB

2. Klasse	196209
1. Klasse	28601

Length

Max length	9
Median length	9
Mean length	9
Min length	9

Characters and Unicode

Total characters	2023290
Distinct characters	9
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2. Klasse
2nd row	1. Klasse
3rd row	2. Klasse
4th row	2. Klasse
5th row	2. Klasse

Common Values

Value	Count	Frequency (%)
2. Klasse	196209	85.0%
1. Klasse	28601	12.4%
(Missing)	6082	2.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
klasse	224810	50.0%
2	196209	43.6%
1	28601	6.4%

Most occurring characters

Value	Count	Frequency (%)
s	449620	22.2%
.	224810	11.1%
	224810	11.1%
K	224810	11.1%
l	224810	11.1%
a	224810	11.1%
e	224810	11.1%
2	196209	9.7%
1	28601	1.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1124050	55.6%
Other Punctuation	224810	11.1%
Space Separator	224810	11.1%
Uppercase Letter	224810	11.1%
Decimal Number	224810	11.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	449620	40.0%
l	224810	20.0%
a	224810	20.0%
e	224810	20.0%

Decimal Number

Value	Count	Frequency (%)
2	196209	87.3%
1	28601	12.7%

Other Punctuation

Value	Count	Frequency (%)
.	224810	100.0%

Space Separator

Value	Count	Frequency (%)
	224810	100.0%

Uppercase Letter

Value	Count	Frequency (%)
K	224810	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1348860	66.7%
Common	674430	33.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	449620	33.3%
K	224810	16.7%
l	224810	16.7%
a	224810	16.7%
e	224810	16.7%

Common

Value	Count	Frequency (%)
.	224810	33.3%
	224810	33.3%
2	196209	29.1%
1	28601	4.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2023290	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
s	449620	22.2%
.	224810	11.1%
	224810	11.1%
K	224810	11.1%
l	224810	11.1%
a	224810	11.1%
e	224810	11.1%
2	196209	9.7%
1	28601	1.4%

u_ga
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	148510
Missing (%)	64.3%
Memory size	225.7 KiB

kein GA	75615
besitzt GA	6767

Length

Max length	10
Median length	7
Mean length	7.24642519
Min length	7

Characters and Unicode

Total characters	596975
Distinct characters	11
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	besitzt GA
2nd row	besitzt GA
3rd row	besitzt GA
4th row	besitzt GA
5th row	besitzt GA

Common Values

Value	Count	Frequency (%)
kein GA	75615	32.7%
besitzt GA	6767	2.9%
(Missing)	148510	64.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
ga	82382	50.0%
kein	75615	45.9%
besitzt	6767	4.1%

Most occurring characters

Value	Count	Frequency (%)
e	82382	13.8%
i	82382	13.8%
	82382	13.8%
G	82382	13.8%
A	82382	13.8%
k	75615	12.7%
n	75615	12.7%
t	13534	2.3%
b	6767	1.1%
s	6767	1.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	349829	58.6%
Uppercase Letter	164764	27.6%
Space Separator	82382	13.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	82382	23.5%
i	82382	23.5%
k	75615	21.6%
n	75615	21.6%
t	13534	3.9%
b	6767	1.9%
s	6767	1.9%
z	6767	1.9%

Uppercase Letter

Value	Count	Frequency (%)
G	82382	50.0%
A	82382	50.0%

Space Separator

Value	Count	Frequency (%)
	82382	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	514593	86.2%
Common	82382	13.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	82382	16.0%
i	82382	16.0%
G	82382	16.0%
A	82382	16.0%
k	75615	14.7%
n	75615	14.7%
t	13534	2.6%
b	6767	1.3%
s	6767	1.3%
z	6767	1.3%

Common

Value	Count	Frequency (%)
	82382	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	596975	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	82382	13.8%
i	82382	13.8%
	82382	13.8%
G	82382	13.8%
A	82382	13.8%
k	75615	12.7%
n	75615	12.7%
t	13534	2.3%
b	6767	1.1%
s	6767	1.1%

S_AB3_HTA
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	12337
Missing (%)	5.3%
Memory size	225.7 KiB

ja	180703
nein	37852

Length

Max length	4
Median length	2
Mean length	2.346384205
Min length	2

Characters and Unicode

Total characters	512814
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	ja
2nd row	ja
3rd row	ja
4th row	ja
5th row	ja

Common Values

Value	Count	Frequency (%)
ja	180703	78.3%
nein	37852	16.4%
(Missing)	12337	5.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
ja	180703	82.7%
nein	37852	17.3%

Most occurring characters

Value	Count	Frequency (%)
j	180703	35.2%
a	180703	35.2%
n	75704	14.8%
e	37852	7.4%
i	37852	7.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	512814	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
j	180703	35.2%
a	180703	35.2%
n	75704	14.8%
e	37852	7.4%
i	37852	7.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	512814	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
j	180703	35.2%
a	180703	35.2%
n	75704	14.8%
e	37852	7.4%
i	37852	7.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	512814	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
j	180703	35.2%
a	180703	35.2%
n	75704	14.8%
e	37852	7.4%
i	37852	7.4%

R_anschluss
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	102839
Missing (%)	44.5%
Memory size	225.7 KiB

Ja	122009
Nein	6044

Length

Max length	4
Median length	2
Mean length	2.094398413
Min length	2

Characters and Unicode

Total characters	268194
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Ja
2nd row	Ja
3rd row	Ja
4th row	Ja
5th row	Ja

Common Values

Value	Count	Frequency (%)
Ja	122009	52.8%
Nein	6044	2.6%
(Missing)	102839	44.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
ja	122009	95.3%
nein	6044	4.7%

Most occurring characters

Value	Count	Frequency (%)
J	122009	45.5%
a	122009	45.5%
N	6044	2.3%
e	6044	2.3%
i	6044	2.3%
n	6044	2.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	140141	52.3%
Uppercase Letter	128053	47.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	122009	87.1%
e	6044	4.3%
i	6044	4.3%
n	6044	4.3%

Uppercase Letter

Value	Count	Frequency (%)
J	122009	95.3%
N	6044	4.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	268194	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
J	122009	45.5%
a	122009	45.5%
N	6044	2.3%
e	6044	2.3%
i	6044	2.3%
n	6044	2.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	268194	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
J	122009	45.5%
a	122009	45.5%
N	6044	2.3%
e	6044	2.3%
i	6044	2.3%
n	6044	2.3%

R_stoerung
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	48495
Missing (%)	21.0%
Memory size	225.7 KiB

Nein	168302
Ja	14095

Length

Max length	4
Median length	4
Mean length	3.845447019
Min length	2

Characters and Unicode

Total characters	701398
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Nein
2nd row	Nein
3rd row	Nein
4th row	Nein
5th row	Nein

Common Values

Value	Count	Frequency (%)
Nein	168302	72.9%
Ja	14095	6.1%
(Missing)	48495	21.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
nein	168302	92.3%
ja	14095	7.7%

Most occurring characters

Value	Count	Frequency (%)
N	168302	24.0%
e	168302	24.0%
i	168302	24.0%
n	168302	24.0%
J	14095	2.0%
a	14095	2.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	519001	74.0%
Uppercase Letter	182397	26.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	168302	32.4%
i	168302	32.4%
n	168302	32.4%
a	14095	2.7%

Uppercase Letter

Value	Count	Frequency (%)
N	168302	92.3%
J	14095	7.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	701398	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	168302	24.0%
e	168302	24.0%
i	168302	24.0%
n	168302	24.0%
J	14095	2.0%
a	14095	2.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	701398	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	168302	24.0%
e	168302	24.0%
i	168302	24.0%
n	168302	24.0%
J	14095	2.0%
a	14095	2.0%

device_type
Categorical

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	82382
Missing (%)	35.7%
Memory size	225.7 KiB

Desktop	100249
Smartphone	48261

Length

Max length	10
Median length	7
Mean length	7.974904047
Min length	7

Characters and Unicode

Total characters	1184353
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Desktop
2nd row	Desktop
3rd row	Desktop
4th row	Desktop
5th row	Desktop

Common Values

Value	Count	Frequency (%)
Desktop	100249	43.4%
Smartphone	48261	20.9%
(Missing)	82382	35.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
desktop	100249	67.5%
smartphone	48261	32.5%

Most occurring characters

Value	Count	Frequency (%)
e	148510	12.5%
t	148510	12.5%
o	148510	12.5%
p	148510	12.5%
D	100249	8.5%
s	100249	8.5%
k	100249	8.5%
S	48261	4.1%
m	48261	4.1%
a	48261	4.1%
Other values (3)	144783	12.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1035843	87.5%
Uppercase Letter	148510	12.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	148510	14.3%
t	148510	14.3%
o	148510	14.3%
p	148510	14.3%
s	100249	9.7%
k	100249	9.7%
m	48261	4.7%
a	48261	4.7%
r	48261	4.7%
h	48261	4.7%

Uppercase Letter

Value	Count	Frequency (%)
D	100249	67.5%
S	48261	32.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1184353	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	148510	12.5%
t	148510	12.5%
o	148510	12.5%
p	148510	12.5%
D	100249	8.5%
s	100249	8.5%
k	100249	8.5%
S	48261	4.1%
m	48261	4.1%
a	48261	4.1%
Other values (3)	144783	12.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1184353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	148510	12.5%
t	148510	12.5%
o	148510	12.5%
p	148510	12.5%
D	100249	8.5%
s	100249	8.5%
k	100249	8.5%
S	48261	4.1%
m	48261	4.1%
a	48261	4.1%
Other values (3)	144783	12.2%

dispcode
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	82382
Missing (%)	35.7%
Memory size	225.7 KiB

Beendet	114032
Ausgescreent	31492
Beendet nach Unterbrechung	2986

Length

Max length	26
Median length	7
Mean length	8.442286715
Min length	7

Characters and Unicode

Total characters	1253764
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Beendet
2nd row	Beendet
3rd row	Beendet
4th row	Beendet
5th row	Beendet

Common Values

Value	Count	Frequency (%)
Beendet	114032	49.4%
Ausgescreent	31492	13.6%
Beendet nach Unterbrechung	2986	1.3%
(Missing)	82382	35.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
beendet	117018	75.7%
ausgescreent	31492	20.4%
nach	2986	1.9%
unterbrechung	2986	1.9%

Most occurring characters

Value	Count	Frequency (%)
e	451502	36.0%
n	157468	12.6%
t	151496	12.1%
B	117018	9.3%
d	117018	9.3%
s	62984	5.0%
c	37464	3.0%
r	37464	3.0%
u	34478	2.7%
g	34478	2.7%
Other values (6)	52394	4.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1096296	87.4%
Uppercase Letter	151496	12.1%
Space Separator	5972	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	451502	41.2%
n	157468	14.4%
t	151496	13.8%
d	117018	10.7%
s	62984	5.7%
c	37464	3.4%
r	37464	3.4%
u	34478	3.1%
g	34478	3.1%
h	5972	0.5%
Other values (2)	5972	0.5%

Uppercase Letter

Value	Count	Frequency (%)
B	117018	77.2%
A	31492	20.8%
U	2986	2.0%

Space Separator

Value	Count	Frequency (%)
	5972	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1247792	99.5%
Common	5972	0.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	451502	36.2%
n	157468	12.6%
t	151496	12.1%
B	117018	9.4%
d	117018	9.4%
s	62984	5.0%
c	37464	3.0%
r	37464	3.0%
u	34478	2.8%
g	34478	2.8%
Other values (5)	46422	3.7%

Common

Value	Count	Frequency (%)
	5972	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1253764	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	451502	36.0%
n	157468	12.6%
t	151496	12.1%
B	117018	9.3%
d	117018	9.3%
s	62984	5.0%
c	37464	3.0%
r	37464	3.0%
u	34478	2.7%
g	34478	2.7%
Other values (6)	52394	4.2%

u_ticket
Categorical

HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	40694
Missing (%)	17.6%
Memory size	225.8 KiB

Mobile-Ticket	158212
Online-Ticket	25204
Easy Ride	6463
bedienter Vertrieb	319

Length

Max length	18
Median length	13
Mean length	12.87246448
Min length	9

Characters and Unicode

Total characters	2448317
Distinct characters	22
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Mobile-Ticket
2nd row	Mobile-Ticket
3rd row	Mobile-Ticket
4th row	Mobile-Ticket
5th row	Mobile-Ticket

Common Values

Value	Count	Frequency (%)
Mobile-Ticket	158212	68.5%
Online-Ticket	25204	10.9%
Easy Ride	6463	2.8%
bedienter Vertrieb	319	0.1%
(Missing)	40694	17.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
mobile-ticket	158212	80.3%
online-ticket	25204	12.8%
easy	6463	3.3%
ride	6463	3.3%
bedienter	319	0.2%
vertrieb	319	0.2%

Most occurring characters

Value	Count	Frequency (%)
e	374890	15.3%
i	373933	15.3%
t	184054	7.5%
l	183416	7.5%
-	183416	7.5%
T	183416	7.5%
c	183416	7.5%
k	183416	7.5%
b	158850	6.5%
M	158212	6.5%
Other values (12)	281298	11.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1878042	76.7%
Uppercase Letter	380077	15.5%
Dash Punctuation	183416	7.5%
Space Separator	6782	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	374890	20.0%
i	373933	19.9%
t	184054	9.8%
l	183416	9.8%
c	183416	9.8%
k	183416	9.8%
b	158850	8.5%
o	158212	8.4%
n	50727	2.7%
d	6782	0.4%
Other values (4)	20346	1.1%

Uppercase Letter

Value	Count	Frequency (%)
T	183416	48.3%
M	158212	41.6%
O	25204	6.6%
E	6463	1.7%
R	6463	1.7%
V	319	0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	183416	100.0%

Space Separator

Value	Count	Frequency (%)
	6782	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2258119	92.2%
Common	190198	7.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	374890	16.6%
i	373933	16.6%
t	184054	8.2%
l	183416	8.1%
T	183416	8.1%
c	183416	8.1%
k	183416	8.1%
b	158850	7.0%
M	158212	7.0%
o	158212	7.0%
Other values (10)	116304	5.2%

Common

Value	Count	Frequency (%)
-	183416	96.4%
	6782	3.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2448317	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	374890	15.3%
i	373933	15.3%
t	184054	7.5%
l	183416	7.5%
-	183416	7.5%
T	183416	7.5%
c	183416	7.5%
k	183416	7.5%
b	158850	6.5%
M	158212	6.5%
Other values (12)	281298	11.5%

u_fahrausweis
Categorical

HIGH CORRELATION
MISSING

Distinct	7
Distinct (%)	< 0.1%
Missing	111092
Missing (%)	48.1%
Memory size	226.0 KiB

Normales Billett	91847
GA	15699
Sparbillett	8084
Spartageskarte	3416
Tageskarte	459
Other values (2)	295

Length

Max length	18
Median length	16
Mean length	13.74565109
Min length	2

Characters and Unicode

Total characters	1646729
Distinct characters	30
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Normales Billett
2nd row	Normales Billett
3rd row	Normales Billett
4th row	Normales Billett
5th row	Normales Billett

Common Values

Value	Count	Frequency (%)
Normales Billett	91847	39.8%
GA	15699	6.8%
Sparbillett	8084	3.5%
Spartageskarte	3416	1.5%
Tageskarte	459	0.2%
Strecken-/Modulabo	216	0.1%
seven25	79	< 0.1%
(Missing)	111092	48.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
normales	91847	43.4%
billett	91847	43.4%
ga	15699	7.4%
sparbillett	8084	3.8%
spartageskarte	3416	1.6%
tageskarte	459	0.2%
strecken-/modulabo	216	0.1%
seven25	79	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
l	291925	17.7%
t	207369	12.6%
e	200118	12.2%
a	111313	6.8%
r	107438	6.5%
i	99931	6.1%
s	95801	5.8%
o	92279	5.6%
N	91847	5.6%
m	91847	5.6%
Other values (20)	256861	15.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1326809	80.6%
Uppercase Letter	227483	13.8%
Space Separator	91847	5.6%
Dash Punctuation	216	< 0.1%
Other Punctuation	216	< 0.1%
Decimal Number	158	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
l	291925	22.0%
t	207369	15.6%
e	200118	15.1%
a	111313	8.4%
r	107438	8.1%
i	99931	7.5%
s	95801	7.2%
o	92279	7.0%
m	91847	6.9%
p	11500	0.9%
Other values (8)	17288	1.3%

Uppercase Letter

Value	Count	Frequency (%)
N	91847	40.4%
B	91847	40.4%
G	15699	6.9%
A	15699	6.9%
S	11716	5.2%
T	459	0.2%
M	216	0.1%

Decimal Number

Value	Count	Frequency (%)
2	79	50.0%
5	79	50.0%

Space Separator

Value	Count	Frequency (%)
	91847	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	216	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	216	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1554292	94.4%
Common	92437	5.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
l	291925	18.8%
t	207369	13.3%
e	200118	12.9%
a	111313	7.2%
r	107438	6.9%
i	99931	6.4%
s	95801	6.2%
o	92279	5.9%
N	91847	5.9%
m	91847	5.9%
Other values (15)	164424	10.6%

Common

Value	Count	Frequency (%)
	91847	99.4%
-	216	0.2%
/	216	0.2%
2	79	0.1%
5	79	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1646729	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
l	291925	17.7%
t	207369	12.6%
e	200118	12.2%
a	111313	6.8%
r	107438	6.5%
i	99931	6.1%
s	95801	5.8%
o	92279	5.6%
N	91847	5.6%
m	91847	5.6%
Other values (20)	256861	15.6%

u_preis
Real number (ℝ_≥0)

MISSING
SKEWED

Distinct	1452
Distinct (%)	0.7%
Missing	22060
Missing (%)	9.6%
Infinite	0
Infinite (%)	0.0%
Mean	33.47748717

Minimum	0
Maximum	6300
Zeros	42
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	3.8
Q1	8.2
median	16
Q3	29
95-th percentile	61
Maximum	6300
Range	6300
Interquartile range (IQR)	20.8

Descriptive statistics

Standard deviation	203.8621595
Coefficient of variation (CV)	6.089529913
Kurtosis	450.3027534
Mean	33.47748717
Median Absolute Deviation (MAD)	9.2
Skewness	20.02315533
Sum	6991170.6
Variance	41559.78009
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
13	4891	2.1%
6.8	4786	2.1%
3.4	3974	1.7%
8.8	3028	1.3%
6.2	2834	1.2%
28	2461	1.1%
5.8	2425	1.1%
14	2393	1.0%
3.7	2358	1.0%
17	2344	1.0%
Other values (1442)	177338	76.8%
(Missing)	22060	9.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	42	< 0.1%
0.5	2	< 0.1%
1.3	2	< 0.1%
1.4	10	< 0.1%
1.5	7	< 0.1%
1.7	2	< 0.1%
2	304	0.1%
2.1	4	< 0.1%
2.2	396	0.2%
2.3	4	< 0.1%

Value	Count	Frequency (%)
6300	55	< 0.1%
4840	22	< 0.1%
4520	1	< 0.1%
4340	11	< 0.1%
4050	4	< 0.1%
3860	200	0.1%
3520	1	< 0.1%
2880	130	0.1%
2700	75	< 0.1%
2650	110	< 0.1%

R_zweck
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	5518
Missing (%)	2.4%
Memory size	225.7 KiB

Freizeit und Unterhaltung	150228
Arbeit und Lernen	60015
Sonstige	15131

Length

Max length	25
Median length	25
Mean length	21.72834045
Min length	8

Characters and Unicode

Total characters	4897003
Distinct characters	21
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Freizeit und Unterhaltung
2nd row	Freizeit und Unterhaltung
3rd row	Freizeit und Unterhaltung
4th row	Freizeit und Unterhaltung
5th row	Sonstige

Common Values

Value	Count	Frequency (%)
Freizeit und Unterhaltung	150228	65.1%
Arbeit und Lernen	60015	26.0%
Sonstige	15131	6.6%
(Missing)	5518	2.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
und	210243	32.6%
freizeit	150228	23.3%
unterhaltung	150228	23.3%
arbeit	60015	9.3%
lernen	60015	9.3%
sonstige	15131	2.3%

Most occurring characters

Value	Count	Frequency (%)
e	645860	13.2%
n	645860	13.2%
t	525830	10.7%
	420486	8.6%
r	420486	8.6%
i	375602	7.7%
u	360471	7.4%
d	210243	4.3%
g	165359	3.4%
F	150228	3.1%
Other values (11)	976578	19.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4040900	82.5%
Uppercase Letter	435617	8.9%
Space Separator	420486	8.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	645860	16.0%
n	645860	16.0%
t	525830	13.0%
r	420486	10.4%
i	375602	9.3%
u	360471	8.9%
d	210243	5.2%
g	165359	4.1%
a	150228	3.7%
l	150228	3.7%
Other values (5)	390733	9.7%

Uppercase Letter

Value	Count	Frequency (%)
F	150228	34.5%
U	150228	34.5%
A	60015	13.8%
L	60015	13.8%
S	15131	3.5%

Space Separator

Value	Count	Frequency (%)
	420486	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4476517	91.4%
Common	420486	8.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	645860	14.4%
n	645860	14.4%
t	525830	11.7%
r	420486	9.4%
i	375602	8.4%
u	360471	8.1%
d	210243	4.7%
g	165359	3.7%
F	150228	3.4%
a	150228	3.4%
Other values (10)	826350	18.5%

Common

Value	Count	Frequency (%)
	420486	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4897003	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	645860	13.2%
n	645860	13.2%
t	525830	10.7%
	420486	8.6%
r	420486	8.6%
i	375602	7.7%
u	360471	7.4%
d	210243	4.3%
g	165359	3.4%
F	150228	3.1%
Other values (11)	976578	19.9%

ft_abfahrt
Date

MISSING

Distinct	1318
Distinct (%)	0.7%
Missing	38933
Missing (%)	16.9%
Memory size	1.8 MiB

Minimum	2022-11-18 00:00:00
Maximum	2022-11-18 23:59:00

Histogram

Histogram with fixed size bins (bins=50)

ft_ankunft
Date

MISSING

Distinct	1333
Distinct (%)	0.7%
Missing	38933
Missing (%)	16.9%
Memory size	1.8 MiB

Minimum	2022-11-18 00:00:00
Maximum	2022-11-18 23:59:00

Histogram

Histogram with fixed size bins (bins=50)

ft_startort_uic
Real number (ℝ_≥0)

MISSING
SKEWED

Distinct	2367
Distinct (%)	1.2%
Missing	38933
Missing (%)	16.9%
Infinite	0
Infinite (%)	0.0%
Mean	8508828.455

Minimum	1101961
Maximum	8891702
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	1101961
5-th percentile	8500023
Q1	8503000
median	8504300
Q3	8507000
95-th percentile	8576333
Maximum	8891702
Range	7789741
Interquartile range (IQR)	4000

Descriptive statistics

Standard deviation	51739.0053
Coefficient of variation (CV)	0.006080626208
Kurtosis	4633.854583
Mean	8508828.455
Median Absolute Deviation (MAD)	2170
Skewness	-38.63050039
Sum	1.633346201 × 10¹²
Variance	2676924670
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8503000	20574	8.9%
8507000	11488	5.0%
8500010	7525	3.3%
8505000	6952	3.0%
8503016	5678	2.5%
8500218	5377	2.3%
8506000	4285	1.9%
8506302	3131	1.4%
8509000	2445	1.1%
8502204	2405	1.0%
Other values (2357)	122099	52.9%
(Missing)	38933	16.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1101961	2	< 0.1%
5103865	1	< 0.1%
5510017	2	< 0.1%
8001071	18	< 0.1%
8001093	1	< 0.1%
8002084	1	< 0.1%
8002140	1	< 0.1%
8002181	3	< 0.1%
8002253	3	< 0.1%
8002301	2	< 0.1%

Value	Count	Frequency (%)
8891702	1	< 0.1%
8812005	1	< 0.1%
8775100	1	< 0.1%
8774687	1	< 0.1%
8774549	3	< 0.1%
8771513	1	< 0.1%
8771304	5	< 0.1%
8718206	4	< 0.1%
8596004	10	< 0.1%
8595931	1	< 0.1%

ft_tu
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	55
Distinct (%)	< 0.1%
Missing	38933
Missing (%)	16.9%
Memory size	228.1 KiB

SBB	149841
BLS	10611
SOB	7661
THU	6981
RhB	4508
Other values (50)	12357

Length

Max length	3
Median length	3
Mean length	2.973035909
Min length	1

Characters and Unicode

Total characters	570701
Distinct characters	31
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	< 0.1%

Sample

1st row	THU
2nd row	SBB
3rd row	SBB
4th row	SBB
5th row	SBB

Common Values

Value	Count	Frequency (%)
SBB	149841	64.9%
BLS	10611	4.6%
SOB	7661	3.3%
THU	6981	3.0%
RhB	4508	2.0%
ZB	3441	1.5%
MGB	1732	0.8%
AVA	1127	0.5%
RBS	1023	0.4%
AB-	990	0.4%
Other values (45)	4044	1.8%
(Missing)	38933	16.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sbb	149841	78.1%
bls	10611	5.5%
sob	7661	4.0%
thu	6981	3.6%
rhb	4508	2.3%
zb	3443	1.8%
mgb	1732	0.9%
ava	1127	0.6%
rbs	1023	0.5%
ab	990	0.5%
Other values (43)	4042	2.1%

Most occurring characters

Value	Count	Frequency (%)
B	331598	58.1%
S	170098	29.8%
L	10738	1.9%
O	8191	1.4%
U	7559	1.3%
T	7455	1.3%
H	6981	1.2%
R	6289	1.1%
h	4508	0.8%
A	4377	0.8%
Other values (21)	12907	2.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	565077	99.0%
Lowercase Letter	4625	0.8%
Dash Punctuation	992	0.2%
Connector Punctuation	7	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
B	331598	58.7%
S	170098	30.1%
L	10738	1.9%
O	8191	1.4%
U	7559	1.3%
T	7455	1.3%
H	6981	1.2%
R	6289	1.1%
A	4377	0.8%
Z	4021	0.7%
Other values (15)	7770	1.4%

Lowercase Letter

Value	Count	Frequency (%)
h	4508	97.5%
e	65	1.4%
r	42	0.9%
t	10	0.2%

Dash Punctuation

Value	Count	Frequency (%)
-	992	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	7	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	569702	99.8%
Common	999	0.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
B	331598	58.2%
S	170098	29.9%
L	10738	1.9%
O	8191	1.4%
U	7559	1.3%
T	7455	1.3%
H	6981	1.2%
R	6289	1.1%
h	4508	0.8%
A	4377	0.8%
Other values (19)	11908	2.1%

Common

Value	Count	Frequency (%)
-	992	99.3%
_	7	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	570651	> 99.9%
None	50	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
B	331598	58.1%
S	170098	29.8%
L	10738	1.9%
O	8191	1.4%
U	7559	1.3%
T	7455	1.3%
H	6981	1.2%
R	6289	1.1%
h	4508	0.8%
A	4377	0.8%
Other values (19)	12857	2.3%

None

Value	Count	Frequency (%)
Ö	49	98.0%
Ü	1	2.0%

ft_vm
Categorical

HIGH CARDINALITY
MISSING

Distinct	18468
Distinct (%)	9.6%
Missing	38933
Missing (%)	16.9%
Memory size	1.1 MiB

IC 5	578
IC 8	462
IC 8 808	437
IC 1	416
IC 8 825	405
Other values (18463)	189661

Length

Max length	14
Median length	13
Mean length	8.927109435
Min length	3

Characters and Unicode

Total characters	1713639
Distinct characters	23
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6318 ?
Unique (%)	3.3%

Sample

1st row	S 30
2nd row	IR 36 2057
3rd row	IR 75 2128
4th row	IC 8 817
5th row	S 25 8540

Common Values

Value	Count	Frequency (%)
IC 5	578	0.3%
IC 8	462	0.2%
IC 8 808	437	0.2%
IC 1	416	0.2%
IC 8 825	405	0.2%
IC 8 827	403	0.2%
IC 8 829	381	0.2%
IC 8 826	362	0.2%
IC 8 810	358	0.2%
IC 8 806	339	0.1%
Other values (18458)	187818	81.3%
(Missing)	38933	16.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
s	53462	11.0%
ic	44019	9.1%
ir	40160	8.3%
5	13778	2.8%
8	12750	2.6%
1	11076	2.3%
3	10282	2.1%
re	8806	1.8%
75	6606	1.4%
r	5525	1.1%
Other values (14677)	278346	57.4%

Most occurring characters

Value	Count	Frequency (%)
	309866	18.1%
1	199529	11.6%
2	153729	9.0%
I	112723	6.6%
5	110413	6.4%
3	104107	6.1%
6	93684	5.5%
8	88644	5.2%
7	85452	5.0%
R	69137	4.0%
Other values (13)	386355	22.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1012831	59.1%
Uppercase Letter	323936	18.9%
Space Separator	309866	18.1%
Dash Punctuation	67006	3.9%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
I	112723	34.8%
R	69137	21.3%
C	65799	20.3%
S	56511	17.4%
E	18042	5.6%
G	530	0.2%
T	519	0.2%
V	519	0.2%
N	121	< 0.1%
L	33	< 0.1%

Decimal Number

Value	Count	Frequency (%)
1	199529	19.7%
2	153729	15.2%
5	110413	10.9%
3	104107	10.3%
6	93684	9.2%
8	88644	8.8%
7	85452	8.4%
4	64069	6.3%
0	57245	5.7%
9	55959	5.5%

Space Separator

Value	Count	Frequency (%)
	309866	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	67006	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1389703	81.1%
Latin	323936	18.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
	309866	22.3%
1	199529	14.4%
2	153729	11.1%
5	110413	7.9%
3	104107	7.5%
6	93684	6.7%
8	88644	6.4%
7	85452	6.1%
-	67006	4.8%
4	64069	4.6%
Other values (2)	113204	8.1%

Latin

Value	Count	Frequency (%)
I	112723	34.8%
R	69137	21.3%
C	65799	20.3%
S	56511	17.4%
E	18042	5.6%
G	530	0.2%
T	519	0.2%
V	519	0.2%
N	121	< 0.1%
L	33	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1713639	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	309866	18.1%
1	199529	11.6%
2	153729	9.0%
I	112723	6.6%
5	110413	6.4%
3	104107	6.1%
6	93684	5.5%
8	88644	5.2%
7	85452	5.0%
R	69137	4.0%
Other values (13)	386355	22.5%

ft_vm_kurz
Categorical

HIGH CORRELATION
MISSING

Distinct	12
Distinct (%)	< 0.1%
Missing	38933
Missing (%)	16.9%
Memory size	226.0 KiB

IC	57871
S	56397
IR	52150
RE	10061
R	6886
Other values (7)	8594

Length

Max length	3
Median length	2
Mean length	1.687110268
Min length	1

Characters and Unicode

Total characters	323856
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	S
2nd row	IR
3rd row	IR
4th row	IC
5th row	S

Common Values

Value	Count	Frequency (%)
IC	57871	25.1%
S	56397	24.4%
IR	52150	22.6%
RE	10061	4.4%
R	6886	3.0%
EC	5251	2.3%
ICE	2677	1.2%
TGV	519	0.2%
SN	113	< 0.1%
IRE	25	< 0.1%
Other values (2)	9	< 0.1%
(Missing)	38933	16.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
ic	57871	30.1%
s	56397	29.4%
ir	52150	27.2%
re	10061	5.2%
r	6886	3.6%
ec	5251	2.7%
ice	2677	1.4%
tgv	519	0.3%
sn	113	0.1%
ire	25	< 0.1%
Other values (2)	9	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
I	112723	34.8%
R	69122	21.3%
C	65799	20.3%
S	56511	17.4%
E	18022	5.6%
T	519	0.2%
G	519	0.2%
V	519	0.2%
N	121	< 0.1%
L	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	323856	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
I	112723	34.8%
R	69122	21.3%
C	65799	20.3%
S	56511	17.4%
E	18022	5.6%
T	519	0.2%
G	519	0.2%
V	519	0.2%
N	121	< 0.1%
L	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	323856	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
I	112723	34.8%
R	69122	21.3%
C	65799	20.3%
S	56511	17.4%
E	18022	5.6%
T	519	0.2%
G	519	0.2%
V	519	0.2%
N	121	< 0.1%
L	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	323856	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
I	112723	34.8%
R	69122	21.3%
C	65799	20.3%
S	56511	17.4%
E	18022	5.6%
T	519	0.2%
G	519	0.2%
V	519	0.2%
N	121	< 0.1%
L	1	< 0.1%

ft_zielort_uic
Real number (ℝ_≥0)

MISSING

Distinct	1467
Distinct (%)	0.8%
Missing	38933
Missing (%)	16.9%
Infinite	0
Infinite (%)	0.0%
Mean	8500541.988

Minimum	5501362
Maximum	8814001
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	5501362
5-th percentile	8500023
Q1	8503000
median	8503127
Q3	8506290
95-th percentile	8509000
Maximum	8814001
Range	3312639
Interquartile range (IQR)	3290

Descriptive statistics

Standard deviation	42612.15621
Coefficient of variation (CV)	0.005012875211
Kurtosis	611.2885544
Mean	8500541.988
Median Absolute Deviation (MAD)	1873
Skewness	-16.79147258
Sum	1.63175554 × 10¹²
Variance	1815795857
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8503000	35898	15.5%
8507000	17517	7.6%
8505000	10178	4.4%
8500218	8388	3.6%
8500010	7389	3.2%
8506000	5514	2.4%
8506302	4686	2.0%
8509000	3810	1.7%
8503016	3807	1.6%
8502113	2900	1.3%
Other values (1457)	91872	39.8%
(Missing)	38933	16.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5501362	1	< 0.1%
5510017	3	< 0.1%
8001071	15	< 0.1%
8001093	1	< 0.1%
8002140	1	< 0.1%
8002181	3	< 0.1%
8002253	3	< 0.1%
8002301	2	< 0.1%
8002307	1	< 0.1%
8002371	7	< 0.1%

Value	Count	Frequency (%)
8814001	1	< 0.1%
8774647	1	< 0.1%
8774600	1	< 0.1%
8774549	6	< 0.1%
8774538	1	< 0.1%
8772568	1	< 0.1%
8772319	1	< 0.1%
8771513	1	< 0.1%
8771304	5	< 0.1%
8768888	1	< 0.1%

fg_abfahrt
Date

MISSING

Distinct	1342
Distinct (%)	0.7%
Missing	28022
Missing (%)	12.1%
Memory size	1.8 MiB

Minimum	2022-11-18 00:00:00
Maximum	2022-11-18 23:59:00

Histogram

Histogram with fixed size bins (bins=50)

fg_ankunft
Date

MISSING

Distinct	1366
Distinct (%)	0.7%
Missing	28022
Missing (%)	12.1%
Memory size	1.8 MiB

Minimum	2022-11-18 00:00:00
Maximum	2022-11-18 23:59:00

Histogram

Histogram with fixed size bins (bins=50)

fg_startort_uic
Real number (ℝ_≥0)

MISSING
SKEWED

Distinct	10869
Distinct (%)	5.4%
Missing	28022
Missing (%)	12.1%
Infinite	0
Infinite (%)	0.0%
Mean	8509955.155

Minimum	1101316
Maximum	8891702
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	1101316
5-th percentile	8500026
Q1	8503000
median	8505000
Q3	8507493
95-th percentile	8587757
Maximum	8891702
Range	7790386
Interquartile range (IQR)	4493

Descriptive statistics

Standard deviation	108480.6597
Coefficient of variation (CV)	0.01274750074
Kurtosis	3631.64314
Mean	8509955.155
Median Absolute Deviation (MAD)	2172
Skewness	-54.05818232
Sum	1.726414602 × 10¹²
Variance	1.176805352 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8503000	13420	5.8%
8507000	8471	3.7%
8500010	6968	3.0%
8503016	5884	2.5%
8505000	5851	2.5%
8506000	3338	1.4%
8500218	2603	1.1%
8506302	2543	1.1%
8502113	2041	0.9%
8507100	1972	0.9%
Other values (10859)	149779	64.9%
(Missing)	28022	12.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1101316	1	< 0.1%
1101327	1	< 0.1%
1101954	1	< 0.1%
1101957	1	< 0.1%
1102034	1	< 0.1%
1104935	1	< 0.1%
1106493	27	< 0.1%
1401810	1	< 0.1%
5103865	1	< 0.1%
5510017	2	< 0.1%

Value	Count	Frequency (%)
8891702	1	< 0.1%
8812005	1	< 0.1%
8776302	1	< 0.1%
8775100	1	< 0.1%
8774687	2	< 0.1%
8774600	3	< 0.1%
8774564	2	< 0.1%
8774549	4	< 0.1%
8774232	1	< 0.1%
8772319	7	< 0.1%

fg_zielort_uic
Real number (ℝ_≥0)

MISSING
SKEWED

Distinct	10663
Distinct (%)	5.3%
Missing	28022
Missing (%)	12.1%
Infinite	0
Infinite (%)	0.0%
Mean	8507601.845

Minimum	1101322
Maximum	8831138
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	1101322
5-th percentile	8500023
Q1	8503000
median	8505000
Q3	8507483
95-th percentile	8588580
Maximum	8831138
Range	7729816
Interquartile range (IQR)	4483

Descriptive statistics

Standard deviation	133401.7265
Coefficient of variation (CV)	0.01568029733
Kurtosis	2494.239821
Mean	8507601.845
Median Absolute Deviation (MAD)	2060
Skewness	-45.69006732
Sum	1.725937186 × 10¹²
Variance	1.779602064 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8503000	18423	8.0%
8507000	10209	4.4%
8505000	7003	3.0%
8500010	6795	2.9%
8503016	4944	2.1%
8506000	4175	1.8%
8506302	3592	1.6%
8500218	2735	1.2%
8502113	2503	1.1%
8507100	1977	0.9%
Other values (10653)	140514	60.9%
(Missing)	28022	12.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1101322	1	< 0.1%
1101323	1	< 0.1%
1101535	1	< 0.1%
1101894	2	< 0.1%
1101957	3	< 0.1%
1101966	2	< 0.1%
1102138	2	< 0.1%
1102502	1	< 0.1%
1106493	31	< 0.1%
1110000	1	< 0.1%

Value	Count	Frequency (%)
8831138	1	< 0.1%
8814001	1	< 0.1%
8774700	2	< 0.1%
8774687	1	< 0.1%
8774647	1	< 0.1%
8774600	1	< 0.1%
8774564	1	< 0.1%
8774559	1	< 0.1%
8774549	8	< 0.1%
8774538	1	< 0.1%

fg_startort
Categorical

HIGH CARDINALITY
MISSING

Distinct	12216
Distinct (%)	5.5%
Missing	6756
Missing (%)	2.9%
Memory size	804.6 KiB

Zürich HB	14422
Bern	9076
Basel SBB	7575
Luzern	6284
Zürich Flughafen	6253
Other values (12211)	180526

Length

Max length	33
Median length	26
Mean length	11.27582361
Min length	1

Characters and Unicode

Total characters	2527318
Distinct characters	92
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3876 ?
Unique (%)	1.7%

Sample

1st row	Frauenfeld
2nd row	Rheinfelden
3rd row	Amriswil
4th row	Salgesch
5th row	Dottikon-Dintikon

Common Values

Value	Count	Frequency (%)
Zürich HB	14422	6.2%
Bern	9076	3.9%
Basel SBB	7575	3.3%
Luzern	6284	2.7%
Zürich Flughafen	6253	2.7%
Winterthur	3637	1.6%
Olten	2829	1.2%
St. Gallen	2694	1.2%
Aarau	2162	0.9%
Thun	2091	0.9%
Other values (12206)	167113	72.4%
(Missing)	6756	2.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
zürich	28139	8.1%
hb	14656	4.2%
bern	11178	3.2%
basel	9054	2.6%
sbb	7860	2.3%
luzern	7198	2.1%
flughafen	6385	1.8%
st	5081	1.5%
winterthur	5002	1.4%
dorf	4283	1.2%
Other values (9237)	247116	71.4%

Most occurring characters

Value	Count	Frequency (%)
e	248248	9.8%
n	197727	7.8%
r	181216	7.2%
i	139261	5.5%
a	138840	5.5%
	121876	4.8%
l	120336	4.8%
t	112677	4.5%
h	109391	4.3%
s	95130	3.8%
Other values (82)	1062616	42.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1915433	75.8%
Uppercase Letter	420484	16.6%
Space Separator	121876	4.8%
Other Punctuation	55736	2.2%
Dash Punctuation	9958	0.4%
Close Punctuation	1813	0.1%
Open Punctuation	1813	0.1%
Decimal Number	198	< 0.1%
Math Symbol	7	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	248248	13.0%
n	197727	10.3%
r	181216	9.5%
i	139261	7.3%
a	138840	7.2%
l	120336	6.3%
t	112677	5.9%
h	109391	5.7%
s	95130	5.0%
o	79831	4.2%
Other values (31)	492776	25.7%

Uppercase Letter

Value	Count	Frequency (%)
B	82188	19.5%
S	49056	11.7%
Z	39947	9.5%
H	29110	6.9%
L	23617	5.6%
G	23259	5.5%
W	20258	4.8%
A	18550	4.4%
F	16162	3.8%
R	14755	3.5%
Other values (23)	103582	24.6%

Decimal Number

Value	Count	Frequency (%)
4	75	37.9%
6	31	15.7%
3	27	13.6%
0	25	12.6%
1	17	8.6%
2	12	6.1%
7	10	5.1%
8	1	0.5%

Other Punctuation

Value	Count	Frequency (%)
,	43278	77.6%
.	7769	13.9%
/	4541	8.1%
'	147	0.3%
&	1	< 0.1%

Space Separator

Value	Count	Frequency (%)
	121876	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	9958	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1813	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1813	100.0%

Math Symbol

Value	Count	Frequency (%)
+	7	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2335917	92.4%
Common	191401	7.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	248248	10.6%
n	197727	8.5%
r	181216	7.8%
i	139261	6.0%
a	138840	5.9%
l	120336	5.2%
t	112677	4.8%
h	109391	4.7%
s	95130	4.1%
B	82188	3.5%
Other values (64)	910903	39.0%

Common

Value	Count	Frequency (%)
	121876	63.7%
,	43278	22.6%
-	9958	5.2%
.	7769	4.1%
/	4541	2.4%
)	1813	0.9%
(	1813	0.9%
'	147	0.1%
4	75	< 0.1%
6	31	< 0.1%
Other values (8)	100	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2470536	97.8%
None	56782	2.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	248248	10.0%
n	197727	8.0%
r	181216	7.3%
i	139261	5.6%
a	138840	5.6%
	121876	4.9%
l	120336	4.9%
t	112677	4.6%
h	109391	4.4%
s	95130	3.9%
Other values (60)	1005834	40.7%

None

Value	Count	Frequency (%)
ü	41959	73.9%
ä	7448	13.1%
ö	3883	6.8%
è	1317	2.3%
é	1090	1.9%
â	470	0.8%
Ü	369	0.6%
Ä	95	0.2%
ô	40	0.1%
Ö	34	0.1%
Other values (12)	77	0.1%

fg_zielort
Categorical

HIGH CARDINALITY
MISSING

Distinct	12067
Distinct (%)	5.4%
Missing	6753
Missing (%)	2.9%
Memory size	803.4 KiB

Zürich HB	19804
Bern	10880
Luzern	7522
Basel SBB	7448
Zürich Flughafen	5243
Other values (12062)	173242

Length

Max length	40
Median length	28
Mean length	11.1858445
Min length	2

Characters and Unicode

Total characters	2507184
Distinct characters	95
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4142 ?
Unique (%)	1.8%

Sample

1st row	Seuzach
2nd row	Lugano
3rd row	Richterswil
4th row	Interlaken West
5th row	Brugg AG

Common Values

Value	Count	Frequency (%)
Zürich HB	19804	8.6%
Bern	10880	4.7%
Luzern	7522	3.3%
Basel SBB	7448	3.2%
Zürich Flughafen	5243	2.3%
Winterthur	4487	1.9%
St. Gallen	3785	1.6%
Olten	2954	1.3%
Aarau	2687	1.2%
Chur	2119	0.9%
Other values (12057)	157210	68.1%
(Missing)	6753	2.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
zürich	38182	10.9%
hb	20173	5.7%
bern	13795	3.9%
basel	9089	2.6%
luzern	8872	2.5%
sbb	7693	2.2%
st	6620	1.9%
winterthur	5501	1.6%
flughafen	5458	1.6%
gallen	5296	1.5%
Other values (9216)	230890	65.7%

Most occurring characters

Value	Count	Frequency (%)
e	234871	9.4%
n	188958	7.5%
r	187026	7.5%
i	139905	5.6%
a	138828	5.5%
	127539	5.1%
l	117759	4.7%
h	114990	4.6%
t	109425	4.4%
s	89858	3.6%
Other values (85)	1058025	42.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1881422	75.0%
Uppercase Letter	429479	17.1%
Space Separator	127539	5.1%
Other Punctuation	56020	2.2%
Dash Punctuation	8415	0.3%
Open Punctuation	2031	0.1%
Close Punctuation	2031	0.1%
Decimal Number	227	< 0.1%
Math Symbol	20	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	234871	12.5%
n	188958	10.0%
r	187026	9.9%
i	139905	7.4%
a	138828	7.4%
l	117759	6.3%
h	114990	6.1%
t	109425	5.8%
s	89858	4.8%
u	77691	4.1%
Other values (33)	482111	25.6%

Uppercase Letter

Value	Count	Frequency (%)
B	89516	20.8%
Z	48797	11.4%
S	48509	11.3%
H	32873	7.7%
L	24615	5.7%
G	22696	5.3%
W	18636	4.3%
A	18043	4.2%
F	14404	3.4%
R	13610	3.2%
Other values (22)	97780	22.8%

Decimal Number

Value	Count	Frequency (%)
4	77	33.9%
3	30	13.2%
6	26	11.5%
1	24	10.6%
0	22	9.7%
2	21	9.3%
7	19	8.4%
8	4	1.8%
9	2	0.9%
5	2	0.9%

Other Punctuation

Value	Count	Frequency (%)
,	41563	74.2%
.	8923	15.9%
/	5413	9.7%
'	119	0.2%
&	2	< 0.1%

Space Separator

Value	Count	Frequency (%)
	127539	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	8415	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2031	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2031	100.0%

Math Symbol

Value	Count	Frequency (%)
+	20	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2310901	92.2%
Common	196283	7.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	234871	10.2%
n	188958	8.2%
r	187026	8.1%
i	139905	6.1%
a	138828	6.0%
l	117759	5.1%
h	114990	5.0%
t	109425	4.7%
s	89858	3.9%
B	89516	3.9%
Other values (65)	899765	38.9%

Common

Value	Count	Frequency (%)
	127539	65.0%
,	41563	21.2%
.	8923	4.5%
-	8415	4.3%
/	5413	2.8%
(	2031	1.0%
)	2031	1.0%
'	119	0.1%
4	77	< 0.1%
3	30	< 0.1%
Other values (10)	142	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2444050	97.5%
None	63134	2.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	234871	9.6%
n	188958	7.7%
r	187026	7.7%
i	139905	5.7%
a	138828	5.7%
	127539	5.2%
l	117759	4.8%
h	114990	4.7%
t	109425	4.5%
s	89858	3.7%
Other values (62)	994891	40.7%

None

Value	Count	Frequency (%)
ü	49929	79.1%
ä	6239	9.9%
ö	3525	5.6%
è	1289	2.0%
é	1008	1.6%
â	470	0.7%
Ü	433	0.7%
ô	55	0.1%
Ä	54	0.1%
à	29	< 0.1%
Other values (13)	103	0.2%

ft_startort
Categorical

HIGH CARDINALITY
MISSING

Distinct	6278
Distinct (%)	2.9%
Missing	17709
Missing (%)	7.7%
Memory size	629.2 KiB

Zürich HB	21568
Bern	12089
Basel SBB	8129
Luzern	7383
Zürich Flughafen	6046
Other values (6273)	157968

Length

Max length	31
Median length	27
Mean length	10.29527683
Min length	1

Characters and Unicode

Total characters	2194778
Distinct characters	88
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2885 ?
Unique (%)	1.4%

Sample

1st row	Frauenfeld
2nd row	Rheinfelden
3rd row	Weinfelden
4th row	Visp
5th row	Dottikon-Dintikon

Common Values

Value	Count	Frequency (%)
Zürich HB	21568	9.3%
Bern	12089	5.2%
Basel SBB	8129	3.5%
Luzern	7383	3.2%
Zürich Flughafen	6046	2.6%
Olten	5601	2.4%
Winterthur	4583	2.0%
St. Gallen	3282	1.4%
Chur	2597	1.1%
Zug	2536	1.1%
Other values (6268)	139369	60.4%
(Missing)	17709	7.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
zürich	34135	10.6%
hb	22124	6.9%
bahnhof	20703	6.5%
bern	14141	4.4%
basel	9805	3.1%
sbb	9524	3.0%
luzern	8594	2.7%
flughafen	6486	2.0%
olten	6015	1.9%
winterthur	5850	1.8%
Other values (4869)	183599	57.2%

Most occurring characters

Value	Count	Frequency (%)
e	185834	8.5%
n	183188	8.3%
r	150707	6.9%
h	137129	6.2%
a	128829	5.9%
B	113630	5.2%
i	112865	5.1%
	107817	4.9%
l	94467	4.3%
t	84871	3.9%
Other values (78)	895441	40.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1626932	74.1%
Uppercase Letter	406511	18.5%
Space Separator	107817	4.9%
Other Punctuation	43896	2.0%
Dash Punctuation	7677	0.3%
Open Punctuation	892	< 0.1%
Close Punctuation	892	< 0.1%
Decimal Number	100	< 0.1%
Math Symbol	61	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	185834	11.4%
n	183188	11.3%
r	150707	9.3%
h	137129	8.4%
a	128829	7.9%
i	112865	6.9%
l	94467	5.8%
t	84871	5.2%
o	74860	4.6%
u	74039	4.6%
Other values (28)	400143	24.6%

Uppercase Letter

Value	Count	Frequency (%)
B	113630	28.0%
Z	44790	11.0%
S	43970	10.8%
H	33492	8.2%
L	22322	5.5%
G	19859	4.9%
W	17840	4.4%
A	14127	3.5%
F	14121	3.5%
O	12317	3.0%
Other values (23)	70043	17.2%

Decimal Number

Value	Count	Frequency (%)
4	45	45.0%
6	12	12.0%
3	11	11.0%
1	11	11.0%
7	10	10.0%
2	10	10.0%
0	1	1.0%

Other Punctuation

Value	Count	Frequency (%)
,	30977	70.6%
.	6695	15.3%
/	6169	14.1%
'	31	0.1%
&	24	0.1%

Space Separator

Value	Count	Frequency (%)
	107817	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	7677	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	892	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	892	100.0%

Math Symbol

Value	Count	Frequency (%)
+	61	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2033443	92.6%
Common	161335	7.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	185834	9.1%
n	183188	9.0%
r	150707	7.4%
h	137129	6.7%
a	128829	6.3%
B	113630	5.6%
i	112865	5.6%
l	94467	4.6%
t	84871	4.2%
o	74860	3.7%
Other values (61)	767063	37.7%

Common

Value	Count	Frequency (%)
	107817	66.8%
,	30977	19.2%
-	7677	4.8%
.	6695	4.1%
/	6169	3.8%
(	892	0.6%
)	892	0.6%
+	61	< 0.1%
4	45	< 0.1%
'	31	< 0.1%
Other values (7)	79	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2142555	97.6%
None	52223	2.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	185834	8.7%
n	183188	8.5%
r	150707	7.0%
h	137129	6.4%
a	128829	6.0%
B	113630	5.3%
i	112865	5.3%
	107817	5.0%
l	94467	4.4%
t	84871	4.0%
Other values (59)	843218	39.4%

None

Value	Count	Frequency (%)
ü	42850	82.1%
ä	4731	9.1%
ö	1527	2.9%
è	1182	2.3%
é	889	1.7%
â	523	1.0%
Ü	368	0.7%
Ä	82	0.2%
Ö	24	< 0.1%
ì	14	< 0.1%
Other values (9)	33	0.1%

ft_zielort
Categorical

HIGH CARDINALITY
MISSING

Distinct	5387
Distinct (%)	2.5%
Missing	17706
Missing (%)	7.7%
Memory size	622.2 KiB

Zürich HB	37265
Bern	18180
Luzern	10693
Olten	8603
Basel SBB	8041
Other values (5382)	130404

Length

Max length	40
Median length	29
Mean length	8.796956648
Min length	3

Characters and Unicode

Total characters	1875388
Distinct characters	85
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2808 ?
Unique (%)	1.3%

Sample

1st row	Oberwinterthur
2nd row	Zürich HB
3rd row	Zürich HB
4th row	Spiez
5th row	Brugg AG

Common Values

Value	Count	Frequency (%)
Zürich HB	37265	16.1%
Bern	18180	7.9%
Luzern	10693	4.6%
Olten	8603	3.7%
Basel SBB	8041	3.5%
Winterthur	5826	2.5%
St. Gallen	4879	2.1%
Zürich Flughafen	4106	1.8%
Chur	3962	1.7%
Aarau	3083	1.3%
Other values (5377)	108548	47.0%
(Missing)	17706	7.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
zürich	50440	16.7%
hb	37808	12.5%
bern	19113	6.3%
luzern	11013	3.6%
olten	8697	2.9%
basel	8477	2.8%
sbb	8234	2.7%
st	6163	2.0%
winterthur	6087	2.0%
gallen	5445	1.8%
Other values (4522)	140362	46.5%

Most occurring characters

Value	Count	Frequency (%)
e	166360	8.9%
r	159331	8.5%
n	142842	7.6%
i	112933	6.0%
B	101246	5.4%
h	97110	5.2%
	88685	4.7%
a	86023	4.6%
l	84489	4.5%
t	72527	3.9%
Other values (75)	763842	40.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1369493	73.0%
Uppercase Letter	393323	21.0%
Space Separator	88685	4.7%
Other Punctuation	15825	0.8%
Dash Punctuation	6397	0.3%
Open Punctuation	767	< 0.1%
Close Punctuation	767	< 0.1%
Decimal Number	127	< 0.1%
Math Symbol	4	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	166360	12.1%
r	159331	11.6%
n	142842	10.4%
i	112933	8.2%
h	97110	7.1%
a	86023	6.3%
l	84489	6.2%
t	72527	5.3%
c	66870	4.9%
u	64257	4.7%
Other values (27)	316751	23.1%

Uppercase Letter

Value	Count	Frequency (%)
B	101246	25.7%
Z	58847	15.0%
H	44746	11.4%
S	36949	9.4%
L	22163	5.6%
G	18481	4.7%
W	14736	3.7%
O	14668	3.7%
A	13272	3.4%
R	9748	2.5%
Other values (22)	58467	14.9%

Decimal Number

Value	Count	Frequency (%)
4	37	29.1%
7	20	15.7%
6	20	15.7%
3	20	15.7%
2	20	15.7%
1	10	7.9%

Other Punctuation

Value	Count	Frequency (%)
.	6934	43.8%
,	4738	29.9%
/	4131	26.1%
'	20	0.1%
&	2	< 0.1%

Space Separator

Value	Count	Frequency (%)
	88685	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	6397	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	767	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	767	100.0%

Math Symbol

Value	Count	Frequency (%)
+	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1762816	94.0%
Common	112572	6.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	166360	9.4%
r	159331	9.0%
n	142842	8.1%
i	112933	6.4%
B	101246	5.7%
h	97110	5.5%
a	86023	4.9%
l	84489	4.8%
t	72527	4.1%
c	66870	3.8%
Other values (59)	673085	38.2%

Common

Value	Count	Frequency (%)
	88685	78.8%
.	6934	6.2%
-	6397	5.7%
,	4738	4.2%
/	4131	3.7%
(	767	0.7%
)	767	0.7%
4	37	< 0.1%
'	20	< 0.1%
7	20	< 0.1%
Other values (6)	76	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1811584	96.6%
None	63804	3.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	166360	9.2%
r	159331	8.8%
n	142842	7.9%
i	112933	6.2%
B	101246	5.6%
h	97110	5.4%
	88685	4.9%
a	86023	4.7%
l	84489	4.7%
t	72527	4.0%
Other values (58)	700038	38.6%

None

Value	Count	Frequency (%)
ü	56870	89.1%
ä	3231	5.1%
ö	1022	1.6%
è	933	1.5%
é	697	1.1%
â	526	0.8%
Ü	429	0.7%
Ä	37	0.1%
Ö	19	< 0.1%
ô	9	< 0.1%
Other values (7)	31	< 0.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	participant_id	u_date	Kommentar	wime_personal	wime_komfort	wime_sauberkeit	wime_puenktlich	wime_platzangebot	wime_gesamtzuf	wime_preis_leistung	wime_fahrplan	S_sprache	S_alter	S_sex	S_wohnsitz	u_klassencode	u_ga	S_AB3_HTA	R_anschluss	R_stoerung	device_type	dispcode	u_ticket	u_fahrausweis	u_preis	R_zweck	ft_abfahrt	ft_ankunft	ft_startort_uic	ft_tu	ft_vm	ft_vm_kurz	ft_zielort_uic	fg_abfahrt	fg_ankunft	fg_startort_uic	fg_zielort_uic	fg_startort	fg_zielort	ft_startort	ft_zielort
0	642	2019-01-19	None	NaN	88.888889	88.888889	100.000000	100.000000	88.888889	NaN	100.000000	Deutsch	NaN	männlich	In der Schweiz / Liechtenstein	2. Klasse	besitzt GA	NaN	Ja	Nein	NaN	NaN	NaN	NaN	NaN	Freizeit und Unterhaltung	2022-11-18 17:58:00	2022-11-18 18:10:00	8506100	THU	S 30	S	8506016	2022-11-18 17:58:00	2022-11-18 18:22:00	8506100	8506020	Frauenfeld	Seuzach	Frauenfeld	Oberwinterthur
1	657	2019-03-02	None	100.000000	100.000000	100.000000	100.000000	100.000000	100.000000	NaN	100.000000	Deutsch	68.0	männlich	In der Schweiz / Liechtenstein	1. Klasse	besitzt GA	NaN	Ja	Nein	NaN	NaN	NaN	NaN	NaN	Freizeit und Unterhaltung	2022-11-18 05:50:00	2022-11-18 06:49:00	8500301	SBB	IR 36 2057	IR	8503000	2022-11-18 05:50:00	2022-11-18 09:18:00	8500301	8505300	Rheinfelden	Lugano	Rheinfelden	Zürich HB
2	24756	2019-04-22	None	NaN	66.666667	66.666667	100.000000	66.666667	77.777778	NaN	100.000000	Deutsch	25.0	weiblich	In der Schweiz / Liechtenstein	2. Klasse	besitzt GA	NaN	Ja	Nein	NaN	NaN	NaN	NaN	NaN	Freizeit und Unterhaltung	2022-11-18 16:36:00	2022-11-18 17:25:00	8506105	SBB	IR 75 2128	IR	8503000	2022-11-18 16:22:00	2022-11-18 18:10:00	8506109	8503207	Amriswil	Richterswil	Weinfelden	Zürich HB
3	25620	2019-01-05	None	88.888889	44.444444	66.666667	100.000000	44.444444	77.777778	NaN	77.777778	Deutsch	16.0	weiblich	In der Schweiz / Liechtenstein	2. Klasse	besitzt GA	NaN	Ja	Nein	NaN	NaN	NaN	NaN	NaN	Freizeit und Unterhaltung	2022-11-18 10:57:00	2022-11-18 11:24:00	8501605	SBB	IC 8 817	IC	8507483	2022-11-18 10:28:00	2022-11-18 11:51:00	8501600	8507493	Salgesch	Interlaken West	Visp	Spiez
4	41215	2019-01-12	None	NaN	88.888889	88.888889	100.000000	100.000000	88.888889	NaN	100.000000	Deutsch	72.0	weiblich	In der Schweiz / Liechtenstein	2. Klasse	besitzt GA	NaN	NaN	Nein	NaN	NaN	NaN	NaN	NaN	Sonstige	2022-11-18 11:10:00	2022-11-18 11:25:00	8502212	SBB	S 25 8540	S	8500309	2022-11-18 11:10:00	2022-11-18 11:25:00	8502212	8500309	Dottikon-Dintikon	Brugg AG	Dottikon-Dintikon	Brugg AG
5	41305	2019-01-04	Habe schon mehrmals erlebt, dass es im Speisewagen keine Gipfeli gab am Morgen. Das war jeweils ärgerlich.	77.777778	44.444444	77.777778	77.777778	77.777778	88.888889	NaN	66.666667	Deutsch	24.0	weiblich	In der Schweiz / Liechtenstein	2. Klasse	besitzt GA	NaN	NaN	Nein	NaN	NaN	NaN	NaN	NaN	Arbeit und Lernen	2022-11-18 16:57:00	2022-11-18 17:25:00	8502206	SBB	IR 75 2663	IR	8505000	2022-11-18 16:57:00	2022-11-18 17:25:00	8502206	8505000	Baar	Luzern	Baar	Luzern
6	41334	2019-02-01	Ansteben, dass auch in gut frequentierte periphere Zentren eine Fahrplanverdichtung erfolgt.Die Trennung von Fernverkehr und Regionalverkehr ist in Frage zu stellen. Schade, dass ich zu meiner ersten Fahrt am Tag Stellung nehmen muss, beginne ich dich mein Reiseprogramm aus Platzgründen im Zug bewusst früher als es nötig wäre...	100.000000	88.888889	100.000000	100.000000	88.888889	88.888889	NaN	100.000000	Deutsch	43.0	männlich	In der Schweiz / Liechtenstein	2. Klasse	besitzt GA	NaN	NaN	Nein	NaN	NaN	NaN	NaN	NaN	Arbeit und Lernen	2022-11-18 05:50:00	2022-11-18 06:24:00	8507483	SBB	IC 61 1056	IC	8507000	2022-11-18 05:50:00	2022-11-18 06:24:00	8507483	8507000	Spiez	Bern	Spiez	Bern
7	41376	2019-02-24	None	NaN	66.666667	55.555556	100.000000	77.777778	88.888889	NaN	66.666667	Deutsch	21.0	weiblich	In der Schweiz / Liechtenstein	2. Klasse	besitzt GA	NaN	NaN	Nein	NaN	NaN	NaN	NaN	NaN	Arbeit und Lernen	2022-11-18 04:56:00	2022-11-18 05:51:00	8506208	SBB	IR 13 3252	IR	8503000	2022-11-18 04:56:00	2022-11-18 05:51:00	8506208	8503000	Uzwil	Zürich HB	Uzwil	Zürich HB
8	41423	2019-01-06	None	100.000000	100.000000	100.000000	100.000000	100.000000	100.000000	NaN	100.000000	Deutsch	35.0	weiblich	In der Schweiz / Liechtenstein	2. Klasse	besitzt GA	NaN	Ja	Nein	NaN	NaN	NaN	NaN	NaN	Freizeit und Unterhaltung	2022-11-18 17:41:00	2022-11-18 19:28:00	8505213	SBB	IC 2 884	IC	8503000	2022-11-18 17:05:00	2022-11-18 20:58:00	8505400	8507000	Locarno	Bern	Bellinzona	Zürich HB
9	41459	2019-01-07	Die 1. Klasse muss deutluch aufgewertet werden. Die neuen untergeordneten Haltestellen wie Zürich Altstetten und Zürich Oerlikon trüben Fahrerlebnis massiv.	NaN	0.000000	66.666667	55.555556	33.333333	33.333333	NaN	33.333333	Deutsch	47.0	männlich	In der Schweiz / Liechtenstein	1. Klasse	besitzt GA	NaN	Ja	Nein	NaN	NaN	NaN	NaN	NaN	Arbeit und Lernen	2022-11-18 07:12:00	2022-11-18 08:06:00	8508100	SBB	IR 17 2359	IR	8503000	2022-11-18 07:12:00	2022-11-18 08:38:00	8508100	8506000	Langenthal	Winterthur	Langenthal	Zürich HB

Last rows

	participant_id	u_date	Kommentar	wime_personal	wime_komfort	wime_sauberkeit	wime_puenktlich	wime_platzangebot	wime_gesamtzuf	wime_preis_leistung	wime_fahrplan	S_sprache	S_alter	S_sex	S_wohnsitz	u_klassencode	u_ga	S_AB3_HTA	R_anschluss	R_stoerung	device_type	dispcode	u_ticket	u_fahrausweis	u_preis	R_zweck	ft_abfahrt	ft_ankunft	ft_startort_uic	ft_tu	ft_vm	ft_vm_kurz	ft_zielort_uic	fg_abfahrt	fg_ankunft	fg_startort_uic	fg_zielort_uic	fg_startort	fg_zielort	ft_startort	ft_zielort
230882	589945	2022-11-14	None	100.0	100.0	75.0	100.0	100.0	100.0	75.0	75.0	Deutsch	75.0	weiblich	In der Schweiz / Liechtenstein	2. Klasse	NaN	ja	Ja	Nein	Desktop	Beendet	Mobile-Ticket	Normales Billett	18.1	Freizeit und Unterhaltung	2022-11-18 14:58:00	2022-11-18 15:57:00	8506302	SBB	IC-5-528	IC	8503000	2022-11-18 14:31:00	2022-11-18 15:57:00	8506366	8503000	Speicher	Zürich HB	St. Gallen	Zürich HB
230883	589946	2022-11-07	Die WC sind leider häufig sehr sehr schmutzig. Ich fahre diese Strecke öfters.	NaN	NaN	NaN	NaN	NaN	NaN	75.0	100.0	Deutsch	71.0	weiblich	In der Schweiz / Liechtenstein	2. Klasse	NaN	ja	NaN	NaN	Desktop	Ausgescreent	NaN	Sparbillett	26.4	Sonstige	NaT	NaT	NaN	NaN	NaN	NaN	NaN	NaT	NaT	NaN	NaN	Liestal	Chur	Liestal	Chur
230884	589951	2022-11-13	None	NaN	75.0	75.0	75.0	25.0	75.0	50.0	75.0	Deutsch	45.0	männlich	In der Schweiz / Liechtenstein	2. Klasse	NaN	ja	Ja	Nein	Desktop	Beendet	Mobile-Ticket	Normales Billett	24.5	Freizeit und Unterhaltung	2022-11-18 18:04:00	2022-11-18 19:13:00	8503000	SBB	IC-5-532	IC	8504300	2022-11-18 18:04:00	2022-11-18 19:23:00	8503000	8576724	Zürich HB	Biel/Bienne, Omega	Zürich HB	Biel/Bienne
230885	589954	2022-11-11	None	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0	Deutsch	49.0	männlich	In der Schweiz / Liechtenstein	2. Klasse	NaN	ja	Ja	Nein	Desktop	Beendet	NaN	Sparbillett	22.6	Freizeit und Unterhaltung	2022-11-18 07:02:00	2022-11-18 07:58:00	8507000	SBB	IC-8-807	IC	8503000	2022-11-18 06:39:00	2022-11-18 08:12:00	8504410	8503016	Zollikofen	Zürich Flughafen	Bern	Zürich HB
230886	589955	2022-11-11	None	NaN	75.0	75.0	100.0	100.0	75.0	100.0	100.0	Deutsch	43.0	männlich	In der Schweiz / Liechtenstein	2. Klasse	NaN	ja	Ja	Nein	Desktop	Beendet	NaN	Sparbillett	23.4	Freizeit und Unterhaltung	2022-11-18 12:31:00	2022-11-18 13:28:00	8507000	SBB	IC-1-717	IC	8503000	2022-11-18 11:40:00	2022-11-18 13:28:00	8504194	8503000	Laupen BE	Zürich HB	Bern	Zürich HB
230887	589956	2022-11-13	None	0.0	NaN	NaN	100.0	100.0	25.0	50.0	0.0	Deutsch	NaN	divers	In der Schweiz / Liechtenstein	2. Klasse	NaN	nein	Ja	Nein	Desktop	Beendet	NaN	Sparbillett	20.2	Freizeit und Unterhaltung	2022-11-18 15:42:00	2022-11-18 16:24:00	8500305	SBB	IR-36-1977	IR	8503000	2022-11-18 15:42:00	2022-11-18 16:43:00	8500305	8591183	Frick	Zürich, Helmhaus	Frick	Zürich HB
230888	589957	2022-11-13	None	NaN	100.0	100.0	75.0	75.0	100.0	75.0	100.0	Deutsch	48.0	weiblich	In der Schweiz / Liechtenstein	1. Klasse	NaN	ja	Ja	Nein	Desktop	Beendet	Mobile-Ticket	Normales Billett	57.0	Freizeit und Unterhaltung	2022-11-18 15:34:00	2022-11-18 16:58:00	8507100	SBB	IC-8-825	IC	8503000	2022-11-18 15:34:00	2022-11-18 17:22:00	8507100	8503400	Thun	Bülach	Thun	Zürich HB
230889	589959	2022-11-11	Ich hatte meinen grossen Hund (Deutsche Dogge) dabei und war sehr zufrieden mit unserem Platz im Spielwagon unten, freie Fläche zum liegen für den Hund und dennoch eine Sitzgelegenheit für mich. Der Zugbegleiter war grandios.	100.0	100.0	75.0	100.0	100.0	100.0	75.0	100.0	Deutsch	38.0	weiblich	In der Schweiz / Liechtenstein	2. Klasse	NaN	nein	Ja	Nein	Desktop	Beendet	NaN	Sparbillett	34.2	Freizeit und Unterhaltung	2022-11-18 09:36:00	2022-11-18 10:32:00	8507000	SBB	IC-61-1062	IC	8500010	2022-11-18 09:04:00	2022-11-18 10:56:00	8504105	8578157	Niederwangen	Basel, Neuweilerstrasse	Bern	Basel SBB
230890	589962	2022-11-13	Die nahtlosen Anschlüsse habe ich sehr geschätzt, sodass ich rasch von Basel nach Hause kam. Sicherheitspersonal oder Kondukteure im Zug erhöhen das Sicherheitsgefühl positiv. Die Züge donnerstags abends um 22.36 Uhr sind stets überfüllt! Bitte mehr Wagen anhängen. Die Reinigung der Züge ist unterschiedlich - die Fahrgäste und ihr Verhalten wohl leider auch.	NaN	75.0	50.0	100.0	100.0	75.0	75.0	100.0	Deutsch	61.0	weiblich	In der Schweiz / Liechtenstein	2. Klasse	NaN	ja	Ja	Nein	Desktop	Beendet	Mobile-Ticket	Normales Billett	12.9	Freizeit und Unterhaltung	2022-11-18 17:11:00	2022-11-18 17:57:00	8500010	SBB	IR-36-1981	IR	8500309	2022-11-18 17:11:00	2022-11-18 18:12:00	8500010	8503777	Basel SBB	Untersiggenthal, Spiracher	Basel SBB	Brugg AG
230891	589965	2022-11-12	None	100.0	75.0	100.0	100.0	100.0	100.0	100.0	100.0	Deutsch	64.0	weiblich	In der Schweiz / Liechtenstein	2. Klasse	NaN	ja	Ja	Nein	Desktop	Beendet	NaN	Sparbillett	27.4	Freizeit und Unterhaltung	2022-11-18 09:29:00	2022-11-18 11:22:00	8502204	SBB	IR-70-2616	IR	8506302	2022-11-18 07:59:00	2022-11-18 11:22:00	8508211	8506302	Schüpfheim	St. Gallen	Zug	St. Gallen

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Decimal Number

Math Symbol

Open Punctuation

Modifier Symbol

Dash Punctuation

Close Punctuation

Initial Punctuation

Final Punctuation

Space Separator

Currency Symbol

Other Number

Other Symbol

Connector Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Punctuation

Currency Symbols

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

None

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length